A methodology to create legal ontologies in a logic programming based web information retrieval system

Artificial Intelligence and Law 12 (4):397-417 (2004)
  Copy   BIBTEX

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.

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 100,561

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

A multi-agent legal recommender system.Lucas Drumond & Rosario Girardi - 2008 - Artificial Intelligence and Law 16 (2):175-207.
An ontology in owl for legal case-based reasoning.Adam Wyner - 2008 - Artificial Intelligence and Law 16 (4):361-387.
On the relation between SPARQL1.1 and Answer Set Programming.Axel Polleres & Johannes Peter Wallner - 2013 - Journal of Applied Non-Classical Logics 23 (1-2):159-212.

Analytics

Added to PP
2009-01-28

Downloads
97 (#213,433)

6 months
9 (#439,903)

Historical graph of downloads
How can I increase my downloads?