skip navigation
search

WorldLII[Editor's Note: We are republishing here, with some corrections, a post by Dr. Núria Casellas that appeared earlier on VoxPopuLII.]

The organization and formalization of legal information for computer processing in order to support decision-making or enhance information search, retrieval and knowledge management is not recent, and neither is the need to represent legal knowledge in a machine-readable form. Nevertheless, since the first ideas of computerization of the law in the late 1940s, the appearance of the first legal information systems in the 1950s, and the first legal expert systems in the 1970s, claims, such as Hafner’s, that “searching a large database is an important and time-consuming part of legal work,” which drove the development of legal information systems during the 80s, have not yet been left behind.

Similar claims may be found nowadays as, on the one hand, the amount of available unstructured (or poorly structured) legal information and documents made available by governments, free access initiatives, blawgs, and portals on the Web will probably keep growing as the Web expands. And, on the other, the increasing quantity of legal data managed by legal publishing companies, law firms, and government agencies, together with the high quality requirements applicable to legal information/knowledge search, discovery, and management (e.g., access and privacy issues, copyright, etc.) have renewed the need to develop and implement better content management tools and methods.

Information overload, however important, is not the only concern for the future of legal knowledge management; other and growing demands are increasing the complexity of the requirements that legal information management systems and, in consequence, legal knowledge representation must face in the future. Multilingual search and retrieval of legal information to enable, for example, integrated search between the legislation of several European countries; enhanced laypersons’ understanding of and access to e-government and e-administration sites or online dispute resolution capabilities (e.g., BATNA determination); the regulatory basis and capabilities of electronic institutions or normative and multi-agent systems (MAS); and multimedia, privacy or digital rights management systems, are just some examples of these demands.

How may we enable legal information interoperability? How may we foster legal knowledge usability and reuse between information and knowledge systems? How may we go beyond the mere linking of legal documents or the use of keywords or Boolean operators for legal information search? How may we formalize legal concepts and procedures in a machine-understandable form?

In short, how may we handle the complexity of legal knowledge to enhance legal information search and retrieval or knowledge management, taking into account the structure and dynamic character of legal knowledge, its relation with common sense concepts, the distinct theoretical perspectives, the flavor and influence of legal practice in its evolution, and jurisdictional and linguistic differences?

These are challenging tasks, for which different solutions and lines of research have been proposed. Here, I would like to draw your attention to the development of semantic solutions and applications and the construction of formal structures for representing legal concepts in order to make human-machine communication and understanding possible.

Semantic metadata

For example, in the search and retrieval area, we still perform nowadays most legal searches in online or application databases using keywords (that we believe to be contained in the document that we are searching for), maybe together with a combination of Boolean operators, or supported with a set of predefined categories (metadata regarding, for example, date, type of court, etc.), a list of pre-established topics, thesauri (e.g., EuroVoc), or a synonym-enhanced search.

These searches rely mainly on syntactic matching, and — with the exception of searches enhanced with categories, synonyms, or thesauri — they will return only documents that contain the exact term searched for. To perform more complex searches, to go beyond the term, we require the search engine to understand the semantic level of legal documents; a shared understanding of the domain of knowledge becomes necessary.

Although the quest for the representation of legal concepts is not new, these efforts have recently been driven by the success of the World Wide Web (WWW) and, especially, by the later development of the Semantic Web. Sir Tim Berners-Lee described it as an extension of the Web “in which information is given well-defined meaning, better enabling computers and people to work in cooperation.”

From Web 2.0 to Web 3.0

Thus, the Semantic Web is envisaged as an extension of the current Web, which now comprises collaborative tools and social networks (the Social Web or Web 2.0). The Semantic Web is sometimes also referred to as Web 3.0, although there is no widespread agreement on this matter, as different visions exist regarding the enhancement and evolution of the current Web.

These efforts also include the Web of Data (or Linked Data), which relies on the existence of standard formats (URIs, HTTP and RDF) to allow the access and query of interrelated datasets, which may be granted through a SPARQL endpoint (e.g., Govtrack.us, US census data, etc.). Sharing and connecting data on the Web in compliance with the Linked Data principles enables the exploitation of content from different Web data sources with the development of search, browse, and other mashup applications. (See the Linking Open Data cloud diagram by Cyganiak and Jentzsch below.) [Editor's Note: Legislation.gov.uk also applies Linked Data principles to legal information, as John Sheridan explains in his recent post.]

LinkedData

Thus, to allow semantics to be added to the current Web, new languages and tools (ontologies) were needed, as the development of the Semantic Web is based on the formal representation of meaning in order to share with computers the flexibility, intuition, and capabilities of the conceptual structures of human natural languages. In the subfield of computer science and information science known as Knowledge Representation, the term “ontology” refers to a consensual and reusable vocabulary of identified concepts and their relationships regarding some phenomena of the world, which is made explicit in a machine-readable language. Ontologies may be regarded as advanced taxonomical structures, Semantic Web Stackwhere concepts are formalized as classes and defined with axioms, enriched with the description of attributes or constraints, and properties.

The task of developing interoperable technologies (ontology languages, guidelines, software, and tools) has been taken up by the World Wide Web Consortium (W3C). These technologies were arranged in the Semantic Web Stack according to increasing levels of complexity (like a layer cake). In this stack, higher layers depend on lower layers (and the latter are inherited from the original Web). These languages include XML (eXtensible Markup Language), a superset of HTML usually used to add structure to documents, and the so-called ontology languages: RDF/RDFS (Resource Description Framework/Schema), OWL, and OWL2 (Ontology Web Language). While the RDF language offers simple descriptive information about the resources on the Web, encoded in sets of triples of subject (a resource), predicate (a property or relation), and object (a resource or a value), RDFS allows the description of sets. OWL offers an even more expressive language to define structured ontologies (e.g. class disjointess, union or equivalence, etc.

Moreover, a specification to support the conversion of existing thesauri, taxonomies or subject headings into RDF triples has recently been published: the SKOS, Simple Knowledge Organization System standard. These specifications may be exploited in Linked Data efforts, such as the New York Times vocabularies. Also, EuroVoc, the multilingual thesaurus for activities of the EU is, for example, now available in this format.

Although there are different views in the literature regarding the scope of the definition or main characteristics of ontologies, the use of ontologies is seen as the key to implementing semantics for human-machine communication. Many ontologies have been built for different purposes and knowledge domains, for example:

  • OpenCyc: an open source version of the Cyc general ontology;
  • SUMO: the Suggested Upper Merged Ontology;
  • the upper ontologies PROTON (PROTo Ontology) and DOLCE (Descriptive Ontology for Linguistic and Cognitive Engineering);
  • the FRBRoo model (which represents bibliographic information);
  • the RDF representation of Dublin Core;
  • the Gene Ontology;
  • the FOAF (Friend of a Friend) ontology.

Although most domains are of interest for ontology modeling, the legal domain offers a perfect area for conceptual modeling and knowledge representation to be used in different types of intelligent applications and legal reasoning systems, not only due to its complexity as a knowledge intensive domain, but also because of the large amount of data that it generates. The use of semantically-enabled technologies for legal knowledge management could provide legal professionals and citizens with better access to legal information; enhance the storage, search, and retrieval of legal information; make possible advanced knowledge management systems; enable human-computer interaction; and even satisfy some hopes respecting automated reasoning and argumentation.

Regarding the incorporation of legal knowledge into the Web or into IT applications, or the more complex realization of the Legal Semantic Web, several directions have been taken, such as the development of XML standards for legal documentation and drafting (including Akoma Ntoso, LexML, CEN Metalex, and Norme in Rete), and the construction of legal ontologies.

Ontologizing legal knowledge

During the last decade, research on the use of legal ontologies as a technique to represent legal knowledge has increased and, as a consequence, a very interesting debate about their capacity to represent legal concepts and their relation to the different existing legal theories has arisen. It has even been suggested that ontologies could be the “missing link” between legal theory and Artificial Intelligence.

The literature suggests that legal ontologies may be distinguished by the levels of abstraction of the ideas they represent, the key distinction being between core and domain levels. Legal core ontologies model general concepts which are believed to be central for the understanding of law and may be used in all legal domains. In the past, ontologies of this type were mainly built upon insights provided by legal theory and largely influenced by normativism and legal positivism, especially by the works of Hart and Kelsen. Thus, initial legal ontology development efforts in Europe were influenced by hopes and trends in research on legal expert systems based on syllogistic approaches to legal interpretation.

More recent contributions at that level include the LKIF-Core Ontology, the LRI-Core Ontology, the DOLCE+CLO (Core Legal Ontology), and the Ontology of Fundamental Legal Concepts.Blue Scene Such ontologies usually include references to the concepts of Norm, Legal Act, and Legal Person, and may contain the formalization of deontic operators (e.g., Prohibition, Obligation, and Permission).

Domain ontologies, on the other hand, are directed towards the representation of conceptual knowledge regarding specific areas of the law or domains of practice, and are built with particular applications in mind, especially those that enable communication (shared vocabularies), or enhance indexing, search, and retrieval of legal information. Currently, most legal ontologies being developed are domain-specific ontologies, and some areas of legal knowledge have been heavily targeted, notably the representation of intellectual property rights respecting digital rights management (IPROnto Ontology, the Copyright Ontology, the Ontology of Licences, and the ALIS IP Ontology), and consumer-related legal issues (the Customer Complaint Ontology (or CContology), and the Consumer Protection Ontology). Many other well-documented ontologies have also been developed for purposes of the detection of financial fraud and other crimes; the representation of alternative dispute resolution methods, privacy compliance, patents, cases (e.g., Legal Case OWL Ontology), judicial proceedings, legal systems, and argumentation frameworks; and the multilingual retrieval of European law, among others. (See, for example, the proceedings of the JURIX and ICAIL conferences for further references.)

A socio-legal approach to legal ontology development

Thus, there are many approaches to the development of legal ontologies. Nevertheless, in the current legal ontology literature there are few explicit accounts or insights into the methods researchers use to elicit legal knowledge, and the accounts that are available reflect a lack of consensus as to the most appropriate methodology. For example, some accounts focus solely on the use of text mining techniques towards ontology learning from legal texts; while others concentrate on the analysis of legal theories and related materials to extract and formalize legal concepts. Moreover, legal ontology researchers disagree about the role that legal experts should play in ontology development and validation.

Orange SceneIn this regard, at the Institute of Law and Technology, we are developing a socio-legal approach to the construction of legal conceptual models. This approach stems from our collaboration with firms, government agencies, and nonprofit organizations (and their experts, clients, and other users) for the gathering of either explicit or tacit knowledge according to their needs. This empirically-based methodology may require the modeling of legal knowledge in practice (or professional legal knowledge, PLK), and the acquisition of knowledge through ethnographic and other social science research methods, together with the extraction (and merging) of concepts from a range of different sources (acts, regulations, case law, protocols, technical reports, etc.) and their validation by both legal experts and users.

For example, the Ontology of Professional Judicial Knowledge (OPJK) was developed in collaboration with the Spanish School of the Judicary to enhance search and retrieval capabilities of a Web-based frequentl- asked-question system (IURISERVICE) containing a repository of practical knowledge for Spanish judges in their first appointment. The knowledge was elicited from an ethnographic survey in Spanish First Instance Courts. On the other hand, the Neurona Ontologies, for a data protection compliance application, are based on the knowledge of legal experts and the requirements of enterprise asset management, together with the analysis of privacy and data protection regulations and technical risk management standards.

This approach tries to take into account many of the criticisms that developers of legal knowledge-based systems (LKBS) received during the 1980s and the beginning of the 1990s, including, primarily, the lack of legal knowledge or legal domain understanding of most LKBS development teams at the time. These criticisms were rooted in the widespread use of legal sources (statutes, case law, etc.) directly as the knowledge for the knowledge base, instead of including in the knowledge base the “expert” knowledge of lawyers or law-related professionals.

Further, in order to represent knowledge in practice (PLK), legal ontology engineering could benefit from the use of social science research methods for knowledge elicitation, institutional/organizational analysis (institutional ethnography), as well as close collaboration with legal practitioners, users, experts, and other stakeholders, in order to discover the relevant conceptual models that ought to be represented in the ontologies. Moreover, I understand the participation of these stakeholders in ontology evaluation and validation to be crucial to ensuring consensus about, and the usability of, a given legal ontology.

Challenges and drawbacks

Although the use of ontologies and the implementation of the Semantic Web vision may offer great advantages to information and knowledge management, there are great challenges and problems to be overcome.

First, the problems related to knowledge acquisition techniques and bottlenecks in software engineering are inherent in ontology engineering, and ontology development is quite a time-consuming and complex task. Second, as ontologies are directed mainly towards enabling some communication on the basis of shared conceptualizations, how are we to determine the sharedness of a concept? And how are context-dependencies or (cultural) diversities to be represented? Furthermore, how can we evaluate the content of ontologies?

Collaborative Current research is focused on overcoming these problems through the establishment of gold standards in concept extraction and ontology learning from texts, and the idea of collaborative development of legal ontologies, although these techniques might be unsuitable for the development of certain types of ontologies. Also, evaluation (validation, verification, and assessment) and quality measurement of ontologies are currently an important topic of research, especially ontology assessment and comparison for reuse purposes.

Regarding ontology reuse, the general belief is that the more abstract (or core) an ontology is, the less it owes to any particular domain and, therefore, the more reusable it becomes across domains and applications. This generates a usability-reusability trade-off that is often difficult to resolve.

Finally, once created, how are these ontologies to evolve? How are ontologies to be maintained and new concepts added to them?

Over and above these issues, in the legal domain there are taking place more particularized discussions:  for example, the discussion of the advantages and drawbacks of adopting an empirically based perspective (bottom-up), and the complexity of establishing clear connections with legal dogmatics or general legal theory approaches (top-down). To what extent are these two different perspectives on legal ontology development incompatible? How might they complement each other? What is their relationship with text-based approaches to legal ontology modeling?

I would suggest that empirically based, socio-legal methods of ontology construction constitute a bottom-up approach that enhances the usability of ontologies, while the general legal theory-based approach to ontology engineering fosters the reusability of ontologies across multiple domains.

The scholarly discussion of legal ontology development also embraces more fundamental issues, among them the capabilities of ontology languages for the representation of legal concepts, the possibilities of incorporating a legal flavor into OWL, and the implications of combining ontology languages with the formalization of rules.

Finally, the potential value to legal ontology of other approaches, areas of expertise, and domains of knowledge construction ought to be explored, for example: pragmatics and sociology of law methodologies, experiences in biomedical ontology engineering, formal ontology approaches, salamander.jpgand the relationships between legal ontology and legal epistemology, legal knowledge and common sense or world knowledge, expert and layperson’s knowledge, legal information and Linked Data possibilities, and legal dogmatics and political science (e.g., in e-Government ontologies).

As you may see, the challenges faced by legal ontology engineering are great, and the limitations of legal ontologies are substantial. Nevertheless, the potential of legal ontologies is immense. I believe that law-related professionals and legal experts have a central role to play in the successful development of legal ontologies and legal semantic applications.

[Editor's Note: For many of us, the technical aspects of ontologies and the Semantic Web are unfamiliar. Yet these technologies are increasingly being incorporated into the legal information systems that we use everyday, so it's in our interest to learn more about them. For those of us who would like a user-friendly introduction to ontologies and the Semantic Web, here are some suggestions:

Dr. Núria Casellas Dr. Núria Casellas is a visiting researcher at the Legal Information Institute at Cornell University. She is a researcher at the Institute of Law and Technology and an assistant professor at the UAB Law School (on leave). She has participated in several national and European-funded research projects regarding legal ontologies and legal knowledge management: these concern the acquisition of knowledge in judicial settings (IURISERVICE), modeling privacy compliance regulations (NEURONA), drafting legislation (DALOS), and the Legal Case Study of the Semantically Enabled Knowledge Technologies (SEKT VI Framework project), among others. Co-editor of the IDT Series, she holds a Law Degree from the Universitat Autònoma de Barcelona, a Master’s Degree in Health Care Ethics and Law from the University of Manchester, and a PhD (“Modelling Legal Knowledge through Ontologies. OPJK: the Ontology of Professional Judicial Knowledge”).

VoxPopuLII is edited by Judith Pratt. Editor in Chief is Robert Richards.

justice2.jpg

This post explores ways in which information technology (IT) can enhance access to justice. What does it mean when we talk about “the access to justice crisis,” and how can information technology help to resolve it? The discussion that follows is based on my 2009 book, Technology for Justice: How Information Technology Can Support Judicial Reform, particularly Part 4, on the role of information and IT in access to justice.

The normative framework for access to justice

International conventions guarantee access to a court. Everyone is entitled to a fair and public hearing by an independent tribunal in the determination of their civil rights and obligations or of any criminal charge against him or her, according to The International Covenant on Civil and Political Rights (article 14) and regional conventions like the The European Convention on Human Rights (article 6). In practice, the normative framework for access to justice does not provide us with clearly defined concepts.

The major barriers to access to justice identified in the scholarly literature are:

  • Distance, which can be a factor impeding access to courts. In many countries, courts are concentrated in the main urban centers or in the capital.
  • Language barriers, which are present when justice seekers use a language that is different from the language of the courts.
  • Physical challenges, like impaired sight and hearing and motor and cognitive impairments; these as a barrier to access are an emerging topic in the debate on technology support in courts.

These first three factors are all relatively straightforward and do not strike at the heart of the legal process.

  • Cost, for instance lawyers’ fees, court fees and other components of the price of access to justice, in many forms, has been identified as a factor affecting access to courts. However, cost is extremely hard to research and subject to a lot of ramifications. Because of this complexity, cost will not be discussed directly in this post.
  • Lack of information and knowledge, lack of familiarity with the court process, the complexity of legal and administrative systems, and lack of access to legal information are commonly identified factors (Cotterrell, The Sociology of Law p. 251; Hammergren, Envisioning Reform: Improving Judicial Performance in Latin America, p. 136). They are related because they all refer to the availability of information. They are the starting point for our discussion.

Potentially, information on the Internet can provide some form of solution for these problems, in two ways. First, access to information can support fairer administration of justice by equipping people to respond appropriately when confronted with problems with a potentially legal solution. Access to information can compensate, to some extent, for the disadvantage one-shotters experience in litigation, thereby increasing their chance of obtaining a fair decision. Second, the Internet provides a channel for legal information services, although experience with such online service provision is limited in most judiciaries. The discussion here will therefore focus on access to legal information and knowledge. Lack of information and knowledge as a barrier to access to justice is the focus for discussion in the first few paragraphs. The first step is to identify the barriers.

Knowledge and information barriers to access to justice

What are the information barriers individuals experience when they encounter problems with a potentially legal solution? We need empirical evidence to find an answer to this question, and fortunately some excellent research has been done, which may help us. In the U.K., Hazel Genn led a team that researched what people do and think about going to law. Their 1999 report is called Paths to Justice. A similar exercise led by Ben van Velthoven and Marijke ter Voert in The Netherlands, called Geschilbeslechtingsdelta 2003 (Dispute Resolution Delta 2003), was published in 2004. Although there are some marked differences between them, both studies looked at how people deal with “justiciable problems”: problems that are experienced as serious and have a potentially legal solution. Analysis of empirical evidence of people and their justiciable problems in England and Wales and The Netherlands produced the following findings with regard to these barriers:

  • Inaction in the face of a justiciable problem because of lack of information and knowledge occurs in a small percentage of cases.
  • Unavailability of advice negatively affects dispute resolution outcomes. It lowers the resolution rate. Cases in which people attempted to find advice were resolved with a higher rate of success than those of the self-helpers.
  • Respecting the inability to find advice: If people go looking for advice, the barriers to finding it have more to do with their own competencies, such as confidence, emotional fortitude, and literacy skills, than with the availability of the advice. In the United Kingdom, about 20 percent of the population is so poor at reading and writing that they cannot cope with the demands of modern life, according to data from the National Literacy Trust. In The Netherlands, the percentage of similarly low literacy is estimated at about 10 percent, according to data from the Stichting Lezen en Schrijven, the Reading and Writing Foundation.
  • Respecting incompetence in implementing the information received: Different competence levels will affect what can be done with information and advice. Competencies in implementing the information received include, for example, skills such as working out what the problem is, what result is wanted, and how to find help; simple case-recording skills; managing correspondence; confidence and assertiveness; and negotiating skills, according to research reported by Advicenow in 2005. Some people do not want to be empowered by having information available. They want assistance, or even someone to take over dealing with their problem. People with low levels of competence in terms of education, income, confidence, verbal skill, literacy skill, or emotional fortitude are likely to need some help in resolving justiciable problems.
  • Ignorance about legal rights exists across most social groups. Genn notes that people generally are not educated about their legal rights (Genn p. 102).
  • Respecting lack of confidence in the legal system and the courts and negative feelings about the justice system, Genn observes that people are unwilling voluntarily to become involved with the courts. People associate courts with criminal justice. People’s image of the courts is formed by media stories about high profile criminal cases (Genn p. 247). This issue is related to the public image of courts, as well as to the wider role of courts as setters of norms.

Information needs for resolving justiciable problems

After identifying knowledge and information barriers, the next step is to uncover needs for information and knowledge related to access to justice. Those needs are most strongly related to the type of problem people experience. The most frequently occurring justiciable problems are simple, easy-to-solve problems, mostly those concerning goods and services. People themselves resolve such problems, occasionally with advice from specialist organizations like the consumers’ unions (e.g., in the U.S., the National Consumers League). For more important, more complex problems, people tend to seek expert help more frequently. The most difficult to resolve are problems involving a longer-term relationship, such as labor or family problems. Any of the problems discussed in this section may lead to a court procedure. However, the problems that are the toughest to resolve are also the ones that most frequently come to court.

The first need people experience is for information on how to solve their problem. In The Netherlands, the primary sources for this type of information are specialized organizations, with legal advice providers in second place. In England and Wales, solicitors are the first port of call, followed by the Citizens’ Advice Bureaux. In both countries, the police are a significant source of information on justiciable problems. This is especially remarkable because the problems researched were not criminal justice issues.

If people require legal information, they primarily need straightforward information about rules and regulations. Next, they look for information about ways to settle and handle disputes once they arise. Information about court procedures is a separate category that becomes relevant only in the event people need to go to court.

Respecting taking their case to court: People need information on how to resolve problems, on rights and duties, and on taking a case to court. The justiciable problems that normally come to court tend to be difficult for people themselves to resolve. These problems are also experienced as serious. Many of them involve long-term relationships: family, employment, neighbors. Therefore, people will tend to go looking for advice. Some of them may need assistance. Most people seek and receive some kind of advice before they come to court.

In summary, information needs in this context are mostly problem-specific. Most problems are resolved by people themselves, sometimes with the help of information, or help in the form of advice or assistance. The help is provided by many different organizations, but mostly by specialized organizations or providers of legal aid and alternative dispute resolution (ADR).

Different dispute resolution cultures

There are, besides these general trends, interesting differences between England and Wales and The Netherlands. The results with regard to dispute outcome, for instance, show the following:

table-1.JPG

The Netherlands has fewer unresolved disputes, more disputes resolved by agreement, and the rate of resolution by adjudication is half that of England and Wales. It looks as if there is more capacity for resolving justiciable problems in Dutch society than there is in society in England and Wales. Apart from the legacy of the justice system where there is a propensity to settle differences that Voltaire described in one of his letters, many factors may be at work in The Netherlands to produce a higher level of problem-solving capacity. One probable factor is the level of education and the related competence levels for dealing with problems and the legal framework. The functional illiteracy rate is only half that in the United Kingdom. Another factor may be a propensity to settle differences by reducing the complexity of problems through policies and routines.

Diversion or access, empowerment or court improvement?

The debate respecting whether diversion or court improvement should come first as an objective of legal policy, has been going on for some time. These are the options under discussion:

  • Preventing problems and disputes from arising;
  • Equipping as many members of the public as possible to solve problems when they do arise without needing recourse to legal action;
  • Diverting cases away from the courts into private dispute resolution forums; and
  • Enhancing access to legal forums for the resolution of disputes.

Genn argues that it is not an answer to say that diversion and access should be the twin objectives of policy, because they logically conflict. I would like to contribute some observations that could provide a way out of this apparent dilemma.

First, user statistics from the introduction of the online claim service Money Claim Online and the case study in Chapter 2.3 of my book suggest that changes in procedure facilitating access do not in themselves lead to higher caseloads. Changes observed in the caseloads are attributable to market forces in both instances.

The other observation is that Paths to Justice and the Dispute Resolution Delta clearly found that self-help is experienced as more satisfying and less stressful than legal proceedings. Moreover, resolutions are to a large degree problem specific. A way out of the dilemma could be that specialist organizations that make it their business to provide specific information, advice, and assistance, should enhance their role. There is an empirical basis for this way out in the research reported in Paths to Justice and the Dispute Resolution Delta. Although goods and services problems are largely resolved through self-help, out-of-court settlement, or ADR, nonetheless a fair number of them still come to court. Devising ways to assist individuals in informal problem solving and diverting them to other dispute resolution mechanisms can keep still more of these problems out of court. Even in matters for which a court decision is compulsory, like divorce, mediation mechanisms can sort out differences before the case is filed. Clearly, information on the Internet will provide an entry point for all of these dispute resolution services. Online information can thus help to keep as many problems out of court as possible. All this should not keep us from making going to court when necessary less stressful. Information can help reduce people’s stress, even as it improves their chances of achieving justice. The Internet can be a vehicle for this kind of information service, too.

Taking up this point, the next section focuses on courts and how information technology, particularly the Internet, can support them in their role of information providers to improve access to justice. Two strains concerning the role of information in access to justice run through this theme: information to keep disputes out of court, and information on taking disputes to court.

Information to keep disputes out of court

An almost implicit understanding in the research literature is that parties with information on the “rules of thumb” of how courts deal with types of disputes will settle their differences more easily and keep them out of court. Such information supports settlement in the shadow of the law. Most of this type of settlement will be done with the support of legal or specialist organizations. In the pre-litigation stage, information about the approaches judges and courts generally take to specific types of problems can help the informal resolution of those problems. This will require that information about the way courts deal with those types of problems becomes available. Some of the ways in which courts deal with specific issues are laid down in policies. Moreover, judicial decision making is sometimes assisted by decision support systems reflecting policies. In order to help out-of-court settlement, policies and decision support systems need to be available publicly.

Information on taking disputes to court

If a dispute needs to come to court, information can reduce the disadvantage one-shotters have in dealing with the court and with legal issues. This disadvantage of the one-shotters — those who come to court only occasionally — over against the repeat players who use courts as a matter of business, was enunciated by Marc Galanter in his classic 1974 article, Why the Haves Come Out Ahead: Speculations on the Limits of Legal Change. Access to information for individual, self-represented litigants increases their chances of obtaining just and fair decisions. Litigants need information on how to take their case to court. This information needs to be legally correct, as well as effective. By “effective,” I mean that the general public can understand the information, and that someone after reading it will (1) know what to do next, and (2) be confident that this action will yield the desired result. In a case study, I have rated several court-related Web sites in the U.K. and in The Netherlands on those points, and found most of them wanting. My test was done in 2008, and most of the sites have since changed or been replaced. And although the U.K. Court Service leaflet D 184 on how to get a divorce got the best score, my favorite Web site is Advicenow.

table-2.JPG
Such an information service requires a proactive, demand-oriented attitude from courts and judiciaries. Multi-channel information services, such as a letter from the court with reference to information on the court’s or judiciary’s Web site, can meet people’s information needs.

Beyond information push

Other forms of IT, increasingly interactive, can provide access to court. [Editor's note: Document assembly systems for self-represented litigants are a notable example.] Not all of them require full-scale implementation of electronic case management and electronic files. In order to be effective for everyone, the information services discussed will require human help backup. There are also technologies to provide this, but they may still not be sufficient for everyone. The information services discussed here, in order to be effective, will need to be provided by a central agency for the entire legal system. A final finding is the importance of public trust in the courts in order for individuals to achieve access to justice. Judiciaries can actively contribute to improved access to justice in this field by ensuring that correct information about their processes is furnished to the public.

In summary, access to justice can be effectively improved with IT services. Such services can help to ameliorate the access-to-justice crisis by keeping disputes out of court. The information services identified here should serve the purpose of getting justice done. They should not keep people from getting the justice they deserve by preventing them from taking a justified concern to court. If people need to go to court, information services can help them deal with the courts more effectively.

[Editor's Note: A very useful list of resources about applying technology to access to justice appears at the technola blog.]

dorybw_0093klein.jpg

Dory Reiling, mag. iur. Ph.D., is a judge in the first instance court in Amsterdam, The Netherlands. She was the first information manager for The Netherlands’ Judiciary, and a senior judicial reform expert at The World Bank. She is currently on the editorial board of The Hague Journal on the Rule of Law and on the Board of Governors of The Netherlands’ Judiciary’s Web site Rechtspraak.nl. She has a Weblog in Dutch, and an occasional Weblog in English, and can be followed on Twitter at @doryontour.

VoxPopuLII is edited by Judith Pratt. Editor in chief is Robert Richards.

Ontology?The organization and formalization of legal information for computer processing in order to support decision-making or enhance information search, retrieval and knowledge management is not recent, and neither is the need to represent legal knowledge in a machine-readable form. Nevertheless, since the first ideas of computerization of the law in the late 1940s, the appearance of the first legal information systems in the 1950s, and the first legal expert systems in the 1970s, claims, such as Hafner’s, that “searching a large database is an important and time-consuming part of legal work,” which drove the development of legal information systems during the 80s, have not yet been left behind.

Similar claims may be found nowadays as, on the one hand, the amount of available unstructured (or poorly structured) legal information and documents made available by governments, free access initiatives, blawgs, and portals on the Web will probably keep growing as the Web expands. And, on the other, the increasing quantity of legal data managed by legal publishing companies, law firms, and government agencies, together with the high quality requirements applicable to legal information/knowledge search, discovery, and management (e.g., access and privacy issues, copyright, etc.) have renewed the need to develop and implement better content management tools and methods.

Information overload, however important, is not the only concern for the future of legal knowledge management; other and growing demands are increasing the complexity of the requirements that legal information management systems and, in consequence, legal knowledge representation must face in the future. Multilingual search and retrieval of legal information to enable, for example, integrated search between the legislation of several European countries; enhanced laypersons’ understanding of and access to e-government and e-administration sites or online dispute resolution capabilities (e.g., BATNA determination); the regulatory basis and capabilities of electronic institutions or normative and multi-agent systems (MAS); and multimedia, privacy or digital rights management systems, are just some examples of these demands.

How may we enable legal information interoperability? How may we foster legal knowledge usability and reuse between information and knowledge systems? How may we go beyond the mere linking of legal documents or the use of keywords or Boolean operators for legal information search? How may we formalize legal concepts and procedures in a machine-understandable form?

In short, how may we handle the complexity of legal knowledge to enhance legal information search and retrieval or knowledge management, taking into account the structure and dynamic character of legal knowledge, its relation with common sense concepts, the distinct theoretical perspectives, the flavor and influence of legal practice in its evolution, and jurisdictional and linguistic differences?

These are challenging tasks, for which different solutions and lines of research have been proposed. Here, I would like to draw your attention to the development of semantic solutions and applications and the construction of formal structures for representing legal concepts in order to make human-machine communication and understanding possible.

Semantic metadata

Nowadays, in the search and retrieval area, we still perform most legal searches in online or application databases using keywords (that we believe to be contained in the document that we are searching for), maybe together with a combination of Boolean operators, or supported with a set of predefined categories (metadata regarding, for example, date, type of court, etc.), a list of pre-established topics, thesauri (e.g., EUROVOC), or a synonym-enhanced search.

These searches rely mainly on syntactic matching, and — with the exception of searches enhanced with categories, synonyms, or thesauri — they will return only documents that contain the exact term searched for. To perform more complex searches, to go beyond the term, we require the search engine to understand the semantic level of legal documents; a shared understanding of the domain of knowledge becomes necessary.

Although the quest for the representation of legal concepts is not new, these efforts have recently been driven by the success of the World Wide Web (WWW) and, especially, by the later development of the Semantic Web. Sir Tim Berners-Lee described it as an extension of the Web “in which information is given well-defined meaning, better enabling computers and people to work in cooperation.”

FRBRoo screenshot

Thus, the Semantic Web (including Linked Data efforts or the Web of Data) is envisaged as an extension of the current Web, which now also comprises collaborative tools and social networks (the Social Web or Web 2.0). The Semantic Web is sometimes also referred to as Web 3.0, although there is no widespread agreement on this matter, as different visions exist regarding the enhancement and evolution of the current Web.

From Web 2.0 to Web 3.0

Towards that shift, new languages and tools (ontologies) were needed to allow semantics to be added to the current Web, as the development of the Semantic Web is based on the formal representation of meaning in order to share with computers the flexibility, intuition, and capabilities of the conceptual structures of human natural languages. In the subfield of computer science and information science known as Knowledge Representation, the term “ontology” refers to a consensual and reusable vocabulary of identified concepts and their relationships regarding some phenomena of the world, which is made explicit in a machine-readable language. Ontologies may be regarded as advanced taxonomical structures, where concepts formalized as classes (e.g., “Actor”) are defined with axioms, enriched with the description of attributes or constraints (for example, “cardinality”), and linked to other classes through properties (e.g., “possesses” or “is_possessed_by”).
FRBRoo

The task of developing interoperable technologies (ontology languages, guidelines, software, and tools) has been taken up by the World Wide Web Consortium (W3C). These technologies were arranged in the Semantic Web Stack according to increasing levels of complexity (like a layer cake), in the sense that higher layers depend on lower layers (and the latter are inherited from the original Web). The languages include XML (eXtensible Markup Language), a superset of HTML usually used to add structure to documents, and the so-called ontology languages: RDF (Resource Description Framework), OWL, and Semantic Web StackOWL2 (Ontology Web Language). Recently, a specification to support the conversion of existing thesauri, taxonomies or subject headings into RDF has been released (the the SKOS, Simple Knowledge Organization System standard).

Although there are different views in the literature regarding the scope of the definition or main characteristics of ontologies, the use of ontologies is seen as the key to implementing semantics for human-machine communication. Many ontologies have been built for different purposes and knowledge domains, for example:

Although most domains are of interest for ontology modeling, the legal domain offers a perfect area for conceptual modeling and knowledge representation to be used in different types of intelligent applications and legal reasoning systems, not only due to its complexity as a knowledge intensive domain, but also because of the large amount of data that it generates. The use of semantically-enabled technologies for legal knowledge management could provide legal professionals and citizens with better access to legal information; enhance the storage, search, and retrieval of legal information; make possible advanced knowledge management systems; enable human-computer interaction; and even satisfy some hopes respecting automated reasoning and argumentation.

Regarding the incorporation of legal knowledge into the Web or into IT applications, or the more complex realization of the Legal Semantic Web, several directions have been taken, such as the development of XML standards for legal documentation and drafting (including Akoma Ntoso, LexML, CEN Metalex, and Norme in Rete), and the construction of legal ontologies.

Ontologizing legal knowledge

During the last decade, research on the use of legal ontologies as a technique to represent legal knowledge has increased and, as a consequence, a very interesting debate about their capacity to represent legal concepts and their relation to the different existing legal theories has arisen. It has even been suggested that ontologies could be the “missing link” between legal theory and Artificial Intelligence.

The literature suggests that legal ontologies may be distinguished by the levels of abstraction of the ideas they represent, the key distinction being between core and domain levels. Legal core ontologies model general concepts which are believed to be central for the understanding of law and may be used in all legal domains. In the past, ontologies of this type were mainly built upon insights provided by legal theory and largely influenced by normativism and legal positivism, especially by the works of Hart and Kelsen. Thus, initial legal ontology development efforts in Europe were influenced by hopes and trends in research on legal expert systems based on syllogistic approaches to legal interpretation.

More recent contributions at that level include the LRI-Core Ontology, the DOLCE+CLO (Core Legal Ontology), and the Ontology of Fundamental Legal ConceptsBlue Scene (the basis for the LKIF-Core Ontology). Such ontologies usually include references to the concepts of Norm, Legal Act, and Legal Person, and may contain the formalization of deontic operators (e.g., Prohibition, Obligation, and Permission).

Domain ontologies, on the other hand, are directed towards the representation of conceptual knowledge regarding specific areas of the law or domains of practice, and are built with particular applications in mind, especially those that enable communication (shared vocabularies), or enhance indexing, search, and retrieval of legal information. Currently, most legal ontologies being developed are domain-specific ontologies, and some areas of legal knowledge have been heavily targeted, notably the representation of intellectual property rights respecting digital rights management (IPROnto Ontology, the Copyright Ontology, the Ontology of Licences, and the ALIS IP Ontology), and consumer-related legal issues (the Customer Complaint Ontology (or CContology), and the Consumer Protection Ontology). Many other well-documented ontologies have also been developed for purposes of the detection of financial fraud and other crimes; the representation of alternative dispute resolution methods, cases, judicial proceedings, and argumentation frameworks; and the multilingual retrieval of European law, among others. (See, for example, the proceedings of the JURIX and ICAIL conferences for further references.)

A socio-legal approach to legal ontology development

Thus, there are many approaches to the development of legal ontologies. Nevertheless, in the current legal ontology literature there are few explicit accounts or insights into the methods researchers use to elicit legal knowledge, and the accounts that are available reflect a lack of consensus as to the most appropriate methodology. For example, some accounts focus solely on the use of legal text mining and statistical analysis, in which ontologies are built by means of machine learning from legal texts; while others concentrate on the analysis of legal theories and related materials. Moreover, legal ontology researchers disagree about the role that legal experts should play in ontology validation.

Orange SceneIn this regard, at the Institute of Law and Technology, we are developing a socio-legal approach to the construction of legal conceptual models. This approach stems from our collaboration with firms, government agencies, and nonprofit organizations (and their experts, clients, and other users) for the gathering of either explicit or tacit knowledge according to their needs. This empirically-based methodology may require the modeling of legal knowledge in practice (or professional legal knowledge, PLK), and the acquisition of knowledge through ethnographic and other social science research methods, together with the extraction (and merging) of concepts from a range of different sources (acts, regulations, case law, protocols, technical reports, etc.) and their validation by both legal experts and users.

For example, the Ontology of Professional Judicial Knowledge (OPJK) was developed in collaboration with the Spanish School of the Judicary to enhance search and retrieval capabilities of a Web-based frequentl- asked-question system (IURISERVICE) containing a repository of practical knowledge for Spanish judges in their first appointment. The knowledge was elicited from an ethnographic survey in Spanish First Instance Courts. On the other hand, the Neurona Ontologies, for a data protection compliance application, are based on the knowledge of legal experts and the requirements of enterprise asset management, together with the analysis of privacy and data protection regulations and technical risk management standards.

This approach tries to take into account many of the criticisms that developers of legal knowledge-based systems (LKBS) received during the 1980s and the beginning of the 1990s, including, primarily, the lack of legal knowledge or legal domain understanding of most LKBS development teams at the time. These criticisms were rooted in the widespread use of legal sources (statutes, case law, etc.) directly as the knowledge for the knowledge base, instead of including in the knowledge base the “expert” knowledge of lawyers or law-related professionals.

Further, in order to represent knowledge in practice (PLK), legal ontology engineering could benefit from the use of social science research methods for knowledge elicitation, institutional/organizational analysis (institutional ethnography), as well as close collaboration with legal practitioners, users, experts, and other stakeholders, in order to discover the relevant conceptual models that ought to be represented in the ontologies. Moreover, I understand the participation of these stakeholders in ontology evaluation and validation to be crucial to ensuring consensus about, and the usability of, a given legal ontology.

Challenges and drawbacks

Although the use of ontologies and the implementation of the Semantic Web vision may offer great advantages to information and knowledge management, there are great challenges and problems to be overcome.

First, the problems related to knowledge acquisition techniques and bottlenecks in software engineering are inherent in ontology engineering, and ontology development is quite a time-consuming and complex task. Second, as ontologies are directed mainly towards enabling some communication on the basis of shared conceptualizations, how are we to determine the sharedness of a concept? And how are context-dependencies or (cultural) diversities to be represented? Furthermore, how can we evaluate the content of ontologies?

Collaborative Current research is focused on overcoming these problems through the establishment of gold standards in concept extraction and ontology learning from texts, and the idea of collaborative development of legal ontologies, although these techniques might be unsuitable for the development of certain types of ontologies. Also, evaluation (validation, verification, and assessment) and quality measurement of ontologies are currently an important topic of research, especially ontology assessment and comparison for reuse purposes.

Regarding ontology reuse, the general belief is that the more abstract (or core) an ontology is, the less it owes to any particular domain and, therefore, the more reusable it becomes across domains and applications. This generates a usability-reusability trade-off that is often difficult to resolve.

Finally, once created, how are these ontologies to evolve? How are ontologies to be maintained and new concepts added to them?

Over and above these issues, in the legal domain there are taking place more particularized discussions:  for example, the discussion of the advantages and drawbacks of adopting an empirically based perspective (bottom-up), and the complexity of establishing clear connections with legal dogmatics or general legal theory approaches (top-down). To what extent are these two different perspectives on legal ontology development incompatible? How might they complement each other? What is their relationship with text-based approaches to legal ontology modeling?

I would suggest that empirically based, socio-legal methods of ontology construction constitute a bottom-up approach that enhances the usability of ontologies, while the general legal theory-based approach to ontology engineering fosters the reusability of ontologies across multiple domains.

The scholarly discussion of legal ontology development also embraces more fundamental issues, among them the capabilities of ontology languages for the representation of legal concepts, the possibilities of incorporating a legal flavor into OWL, and the implications of combining ontology languages with the formalization of rules.

Finally, the potential value to legal ontology of other approaches, areas of expertise, and domains of knowledge construction ought to be explored, for example: pragmatics and sociology of law methodologies, experiences in biomedical ontology engineering, formal ontology approaches, salamander.jpgand the relationships between legal ontology and legal epistemology, legal knowledge and common sense or world knowledge, expert and layperson’s knowledge, and legal dogmatics and political science (e.g., in e-Government ontologies).

As you may see, the challenges faced by legal ontology engineering are great, and the limitations of legal ontologies are substantial. Nevertheless, the potential of legal ontologies is immense. I believe that law-related professionals and legal experts have a central role to play in the successful development of legal ontologies and legal semantic applications.

[Editor's Note: For many of us, the technical aspects of ontologies and the Semantic Web are unfamiliar. Yet these technologies are increasingly being incorporated into the legal information systems that we use everyday, so it's in our interest to learn more about them. For those of us who would like a user-friendly introduction to ontologies and the Semantic Web, here are some suggestions:

Dr. Núria Casellas Dr. Núria Casellas is a researcher at the Institute of Law and Technology and an assistant professor at the UAB Law School. She has participated in several national and European-funded research projects regarding the acquisition of knowledge in judicial settings (IURISERVICE), improving access to multimedia judicial content (E-Sentencias), on Drafting Legislation with Ontology-Based Support (DALOS), or in the Legal Case Study of the Semantically Enabled Knowledge Technologies (SEKT VI Framework project), among others. Her lines of investigation include: legal knowledge representation, legal ontologies, artificial intelligence and law, legal semantic web, law and technology, and bioethics.
She holds a Law Degree from the Universitat Autònoma de Barcelona, a Master’s Degree in Health Care Ethics and Law from the University of Manchester, and a PhD in Public Law and Legal Philosophy (UAB). Her PhD thesis is entitled “Modelling Legal Knowledge through Ontologies. OPJK: the Ontology of Professional Judicial Knowledge”.

VoxPopuLII is edited by Judith Pratt. Editor in Chief is Rob Richards.

Improve MemoryOrganizations, memories, and routines

Nowadays, information and knowledge management and retrieval systems are widely used in organizations to support many tasks.  These include dealing with information overload, supporting decision-making processes, or providing the members of these organizations with the kind of knowledge and information they require to solve problems.

In particular, knowledge management systems may also be understood as a way to manage organizational memories.  These are defined, by J.G. March and H.A. Simon, as “repertories of possible solutions to classes of problems that have been encountered in the past and repertories of components of problem solutions.” Thus, these memories reveal proven mechanisms for problem-solving, and bring organizational needs into focus. In turn, these mechanisms enable organizations to reach their goals and help them make decisions in highly uncertain environments.

Therefore, the ability to store and retrieve these mechanisms and to manage organizational memories is central.  It allows organizations to learn from their previous decision-making processes, successes and failures.  In effect, in both public and private organizations, successful mechanisms typically become routines, that is, adaptive rules of behavior.  With such routines available to them, organizations only need to search for further solutions or new alternatives when they fail to detect stored problem-solving or decision-making routines in their memory. However, routines are not only problem-solving devices.  More importantly, they are learning devices to turn inexperienced professionals into experts.

Organizational memories contain expert knowledge that can guide both individual and organizational behavior, thus fostering the essential role of organizations as reliable and stable patterns of events. Moreover, organizations will be able to learn from experience as long as they are capable of managing their own memories.

The effectiveness of such knowledge management systems, once implemented, may be measured by an organization’s ability to:

  1. store ready-made solutions in their memory;
  2. search and retrieve these solutions (or routines) when problems arise;
  3. distribute knowledge about these routines among organization members so that they can make adequate decisions; and
  4.  attach new decisions to existing templates, or store them as new ready-made solutions.

Organizational Memories

Beyond document and case management

In the legal domain, the design and implementation of knowledge management tools has been stimulated by the need to cope with the volume and complexity of knowledge and information produced by current legal organizations.

Applied to judicial administration, these systems typically help with storing, managing, and keeping track of documents used in or related to legal proceedings. Obviously these documents include judicial decisions (and templates and protocols to produce them), but they are specially designed to enable an efficient management of secondary but highly relevant documents issued by the court personnel — such as court orders, decrees, notifications, and transcripts of declarations. These systems help judicial units maintain the information and knowledge that their members need in order to work effectively on every stage of the procedure.

In fact, legal bureaucratic organizations are usually able to maintain and distribute this type of knowledge among their members.  The implementation of document and case management systems has been critical to this achievement.

Nevertheless, legal organizations (and organizations in general) produce other types of organizational knowledge than those related to document or case management. Systematic loss of such knowledge, or lack of reuse, may increase uncertainty in inefficient organizational and individual behavior.

In particular, research conducted at the Institute of Law and Technology (IDT) on the integration of junior Spanish judges within their institutional environment shows that, while knowledge management systems implemented in these legal organizations typically deal with document and case management, most of the problems that arise during judicial daily work are of a different nature.

The case of the on-call service in courtsJudge

Spain’s legal system is part of the mainstream of European civil law systems, which means that, in contrast to the common law tradition, Spanish judges are specialized civil servants working in a branch of a bigger bureaucratic organization – that is, the State. Ideally, Spanish judges decide cases by applying a corpus of written legal norms that, in principle, should be a complete and coherent repertoire of solutions.

Due to the existence of specialized jurisdictions, the Spanish judicial system is both highly centralized and complex. Courts at the local level, known as Courts of First Instance and Magistrate, are the entry point of the  Spanish judicial system.  These are the courts where junior judges start their professional career, after an average of seven years of mainly theoretical training.

These judges handle most civil cases, decide upon minor criminal offenses, and start most preliminary criminal proceedings that will be later tried by higher courts. Due to the nature of their responsibilities, the judges appointed to these courts are on-call for 24 hours during an 8-day period, on a rotation basis, to attend any incoming criminal or civil case.

Spain’s Court System

In 2005, I took part in a research project at the IDT that carried out an empirical study of the main professional problems affecting Spanish junior judges in their daily work.

Most of the interviewed judges felt that the on-call service was the main source of both professional problems and stressful situations. During this  service, judges faced problems that could be regarded as being of a behavioral, practical nature. Some of those were triggered by both legal and non-legal actors not following established protocols. However, most problems arose from the lack of specific guidelines to deal with situations under time pressure and urgency.

Regardless of the kind of problem that arise during the on-call service, judges have to make decisions, and they usually solve them by informally contacting senior colleagues (which is unlikely when a situation takes place at 4 a.m.), or relying on their intuition and common sense.

With time, judges acquire a great amount of this practical experience. Nevertheless, the Spanish judicial system requires them to promote to upper-level positions after a short period. In these new positions, they will hardly reuse this knowledge, and at the same time new junior judges will fill those low court positions and will have to start the learning process from scratch. Since the legal organization does not provide their members with the means of sharing this practical knowledge, a part of the memory of these organizational units is systematically lost or only informally distributed.

According to the previously presented process for organizational memory management, once certain solutions have been successfully worked out, the knowledge attached to them would enrich the organizational memory with practical routines to deal with similar on-call situations. However, the fact that legal knowledge management systems have typically focused on procedural – that is, written — legal documents hampers their ability to manage this practical knowledge.

In conclusion, the fact that a legal organization neither offers nor maintains a set of ready-made solutions for usual problems faced by its professionals not only challenges their own members’ professional role, but it also handicaps the learning capacity of the organization itself. In turn, it makes particular organizational units more vulnerable to potential problems, such as conflict of interests or organizational slack.

The challenge of practical knowledge

Important advances in knowledge engineering, text mining, and information retrieval have been made that enable formalizing, interpreting and storing different types of knowledge.  Therefore, knowledge management systems can more easily be implemented to improve organizational design.

However, professional, practical knowledge cannot be easily incorporated into the organizational memory, because it may not be found in documents from which it may be directly acquired, extracted and modeled. Furthermore, most organizations may be unaware of the existence of certain key practical knowledge among the staff, and thus also unaware of the need to include it into their organizational memories.

From my experience in the research involving the on-call service, it seems imperative that serious empirical assessments of the processes by which decisions are made — and thus knowledge is produced — within legal organizations should be incorporated in every project, along with the knowledge modeling techniques that can  build more efficient knowledge- and information- management tools.

Joan-Josep VallbéJoan-Josep Vallbé is a researcher at the Institute of Law and Technology (IDT) of the Autonomous University of Barcelona. He is also a lecturer in political science at the Political Science Department of the University of Barcelona. He recently finished and presented his PhD thesis on decision-making within organizational frameworks. His research interests include the use of text mining and text statistics for organizational analysis, and the development of performance indicators on the management of organizational memories.

VoxPopuLII is edited by Judith Pratt.