A corpus analysis approach for automatic query expansion and its extension to multiple databases
ACM Transactions on Information Systems (TOIS)
An overview of the ONIONS project: applying ontologies to the integration of medical terminologies
Data & Knowledge Engineering - Special issue on formal ontology and conceptual modeling
A collaborative approach to ontology design
Communications of the ACM - Ontology: different ways of representing the same concept
Revisiting Ontology Design: A Methodology Based on Corpus Analysis
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
Updating ontologies in the legal domain
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Building Semantic Resources for Legislative Drafting: The DALOS Project
Computable Models of the Law
Ontology learning from Italian legal texts
Proceedings of the 2009 conference on Law, Ontologies and the Semantic Web: Channelling the Legal Information Flood
A two-level knowledge approach to support multilingual legislative drafting
Proceedings of the 2009 conference on Law, Ontologies and the Semantic Web: Channelling the Legal Information Flood
Building an ontological support for multilingual legislative drafting
Proceedings of the 2007 conference on Legal Knowledge and Information Systems: JURIX 2007: The Twentieth Annual Conference
An Approach to Legal Rules Modelling and Automatic Learning
Proceedings of the 2009 conference on Legal Knowledge and Information Systems: JURIX 2009: The Twenty-Second Annual Conference
Legal language and legal knowledge management applications
Semantic Processing of Legal Texts
Semantic Processing of Legal Texts
| Hi-index | 0.00 |
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