Artificial Intelligence and Law

, Volume 12, Issue 4, pp 397–417 | Cite as

A Methodology to Create Legal Ontologies in a Logic Programming Based Web Information Retrieval System

Article

Abstract

Web legal 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 web information retrieval system of the Portuguese Attorney General’s Office is described.

Keywords

Ontologies OWL natural language processing logic programming 

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Copyright information

© Springer 2006

Authors and Affiliations

  1. 1.Departamento de InformáticaUniversidade de ÉvoraÉvoraPortugal

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