A methodology to create legal ontologies in a logic programming based web information retrieval system
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Artificial Intelligence and Law 12 (4):397-417 (2004)
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|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
Adam Wyner & Rinke Hoekstra (2012). A Legal Case OWL Ontology with an Instantiation of Popov V. Hayashi. Artificial Intelligence and Law 20 (1):83-107.
Leonardo Lesmo, Alessandro Mazzei, Monica Palmirani & Daniele P. Radicioni (2013). TULSI: An NLP System for Extracting Legal Modificatory Provisions. [REVIEW] Artificial Intelligence and Law 21 (2):139-172.
Similar books and articles
Adam Wyner (2008). An Ontology in Owl for Legal Case-Based Reasoning. Artificial Intelligence and Law 16 (4):361-387.
Adel Saadoun, Jean-Louis Ermine, Claude Belair & Jean-Mark Pouyot (1997). A Knowledge Engineering Framework for Intelligent Retrieval of Legal Case Studies. Artificial Intelligence and Law 5 (3):179-205.
John Zeleznikow, George Vossos & Daniel Hunter (1993). The IKBALS Project: Multi-Modal Reasoning in Legal Knowledge Based Systems. [REVIEW] Artificial Intelligence and Law 2 (3):169-203.
Luuk Matthijssen (1998). A Task-Based Interface to Legal Databases. Artificial Intelligence and Law 6 (1):81-103.
Guiraude Lame (2004). Using NLP Techniques to Identify Legal Ontology Components: Concepts and Relations. [REVIEW] Artificial Intelligence and Law 12 (4):379-396.
Marie-Francine Moens (2001). Innovative Techniques for Legal Text Retrieval. Artificial Intelligence and Law 9 (1):29-57.
Gian Piero Zarri (2007). Ontologies and Reasoning Techniques for (Legal) Intelligent Information Retrieval Systems. Artificial Intelligence and Law 15 (3):251-279.
Erich Schweighofer & Doris Liebwald (2007). Advanced Lexical Ontologies and Hybrid Knowledge Based Systems: First Steps to a Dynamic Legal Electronic Commentary. [REVIEW] Artificial Intelligence and Law 15 (2):103-115.
E. Francesconi & G. Peruginelli (2009). Integrated Access to Legal Literature Through Automated Semantic Classification. Artificial Intelligence and Law 17 (1):31-49.
M. Saravanan, B. Ravindran & S. Raman (2009). Improving Legal Information Retrieval Using an Ontological Framework. Artificial Intelligence and Law 17 (2):101-124.
Added to index2009-01-28
Total downloads10 ( #148,332 of 1,102,742 )
Recent downloads (6 months)4 ( #84,424 of 1,102,742 )
How can I increase my downloads?