Catálogo de publicaciones - libros

A method to identify ontology components is presented in this article. The method relies on Natural Language Processing (NLP) techniques to extract concepts and relations among these concepts. This method is applied in the legal field to build an ontology dedicated to information retrieval. Legal texts on which the method is performed are carefully chosen as describing and conceptualizing the legal domain. We suggest that this method can help legal ontology designers and may be used while building ontologies dedicated to other tasks than information retrieval

Legal web information retrieval systems need the capability to reason with the knowledge modeled by legal ontologies. Using this knowledge it is possible to represent and to make inferences about the semantic content of legal documents.

In this paper a methodology for applying NLP techniques to automatically create a legal ontology is proposed. The ontology is defined in the OWL semantic web language and it is used in a logic programming framework, EVOLP+ISCO, to allow users to query the semantic content of the documents. ISCO allows an easy and efficient integration of declarative, object-oriented and constraint-based programming techniques with the capability to create connections with external databases. EVOLP is a dynamic logic programming framework allowing the definition of rules for actions and events.

An application of the proposed methodology to the legal information retrieval system of the Portuguese Attorney General’s Office is described.

In this paper, we describe the use of legal ontologies as a basis to improve IT support for professional judges. In the ontology, we emphasize the importance of professional knowledge and experience as an important pillar for constructing the ontology. We describe an intelligent FAQ system for junior judges that intensively uses the ontology.

Globalization and international trade have transformed the delivery of transnational legal services worldwide. Law firms face market competition through a variety of strategies, ranging from expansion in size, specialization of services, international alliances or creation of networks. Transnational legal networks (TLN) have emerged as one of those alternatives, but they face a number of organizational challenges: cross-referral of cases, knowledge management strategies, exchange of information, etc. The Netcase project aims at addressing those major challenges by proposing an intelligent system of automatic case forwarding within TLN. Netcase is able to analyze incoming cases and assign them to the most appropriate law firms and lawyers. The selection is based on law firm specialties, availability of resources, and lawyers’ skills. The model results in a central market where lawyers and law firms are skill producers, law firms are also skill containers, and legal cases are goods that need skills to be solved.

This document discusses the status of research on detection and prevention of financial fraud undertaken as part of the IST European Commission funded FF POIROT (inancial raud revention riented nformation esources using ntology echnology) project, and in particular the interplay of, and tension between, modelling factual and legal aspects of a case.