ABSTRACT
This paper describes experimental research investigating automated techniques for creating legal ontologies from legislation and for merging existing ontologies with new ones when new laws are adopted. The first part of the paper describes how the ontologies are built, the second part how they are merged for updating the first one.Given a legal ontology, elaborated using certain methods and tools and dedicated to information retrieval, we explore the way to update it. We present important elements concerning the initial ontology: purposes, methods and tools. We describe the experimentation of the updating of a legal ontology.
- T. Bench-Capon. Task Neutral Ontologies, Common Sense Ontologies and Legal Information Systems. In: Second International Workshop on Legal Ontologies, JURIX 2001, Amsterdam, Neederlands (2001).Google Scholar
- D. Bourigault. Analyse distributionnelle étendue. In: Proceedings of Traitement Automatique des Langues, Nancy, France (2002).Google Scholar
- D. Bourigault and G. Lame. Analyse distributionnelle et structuration de terminologie, application à la construction d'une ontologie documentaire du droit. Traitement automatique des langues, vol.43, n°1, Ed. Hermès, Paris, France (2002) 129--150.Google Scholar
- G. Braibant. La problématique de la codification. Savoir Innover en Droit. Concepts, Outils, Systèmes. Ed. La documentation française (1999) 55--65.Google Scholar
- N. Fridman Noy, M. A. Musen. An algorithm for merging and aligning ontologies: Automation and tool support. In Proc. Of the Worshop on ontology Management at the Sixteenth National Conference on Artificial Intelligence (AAAI-99), Orlando, 1999. FL: AAI Press.Google Scholar
- A. Gomez-Perez. Evaluation of Ontologies. In: International Journal of Intelligent Systems. Wiley Inc. vol. 16, 391--409 (2001).Google ScholarCross Ref
- S. Gauch, J. Wank, S. Rachakonda. A Corpus Analysis Approach for Automatic Query Expansion and Its Extension to Multiple Databases. ACM Transactions on Information Systems, vol. 17, n°3 (1999) 250--269. Google ScholarDigital Library
- Y. Kalfoglou, M. Schorlemmer. Ontology Mapping: The State of the Art. Advanced Knowledge Technologies. Dagstuhl seminar Proceedings 04391. Semantic Interoperability and Integration. (2005).Google Scholar
- M. Klein, Combining and Relating Ontologies: an Analysis of Problems and Solutions. In: A. Gomez-Perz, M. Gruninger, H. Stuckenschmidt, and M. Uschold, editors, Workshop on Ontologies and Information Sharing, IJCAI'O1, 309--327, Seattle, USA, 2001.Google Scholar
- G. Lame. Constructing an IR-oriented legal ontology. In: Second International Workshop on Legal Ontologies, JURIX 2001, Amsterdam, Neederlands (2001).Google Scholar
- G. Lame. Using NLP Techniques to Identify legal Ontology components: concepts and relations. In: Law and the Semantic Web. Ed. V. R. Benjamins and al. Springer, 169--184 (2005). Google ScholarDigital Library
- D. L. McGuinness, R. Fikes, J. Rice and S. Wilder. An Environment for Merging and Testing Large Ontologies. In Seventeenth International Conference on Principles of Knowledge Representation And Reasoning (KR-2000), 483--493 (2000).Google Scholar
- P. Mitra, G. Wiederhold. Resolving terminological heterogeneity in ontologies. In Proceedings of the ECAI'02 workshop on Ontologies and semantic Interoperability, Lyon, France (2002).Google Scholar
- M.-F. Moens. Automatic indexing and abstracting of document texts, Kluwer (2000).Google Scholar
- N. F. Noy and M. A. Musen. PROMPT: Algorithm and Tolls for Automated Ontology Merging and Alignment. In The Sixteenth International Conference On Artificial Intelligence (AAAI), 450--455 (2000). Google ScholarDigital Library
- N. F. Noy, H. Stuckenschmidt. Ontology Alignment: An annotated Bibliography. Dagstuhl seminar Proceedings 04391. Semantic Interoperability and Integration. (2005).Google Scholar
- H. S. Pinto, A. Gomez-Perez, J. P. Martins. Some Issues on Ontology Integration. In Proceedings of the Workshop on Ontologies and Problem Solving Method, IJCAI-99, Stockholm, Sweden (1999).Google Scholar
- P. R. S. Visser, D. M. Jones, T. J. M. Bench-Capon, M. J. R. Shave. An Analysis of Ontological Mismatches: Heterogeneity versus Interoperability. In Spring Symposium on Ontological Engineering, AAAI 1997, Stanford, USA (1997).Google Scholar
- Updating ontologies in the legal domain
Recommendations
Updating OWL2 ontologies using pruned rulesets
SEMANTICS '15: Proceedings of the 11th International Conference on Semantic SystemsEvolution in Semantic Web content produces difference files (deltas) that track changes between ontology versions. These changes may represent ontology modifications or simply changes in application data. An ontology is typically expressed in a ...
A constructive framework for legal ontologies
Law and the Semantic WebThe increasing development of legal ontologies seems to offer interesting solutions to legal knowledge formalization, which in past experiences lead to a limited exploitation of legal expert systems for practical use. The paper describes how a ...
Legal ontologies over time: A systematic mapping study
Highlights- A broad systematic mapping study for legal ontologies is provided.
- 4315 ...
AbstractOver the last 30 years, AI & Law has provided breakthroughs in studies involving case-based reasoning, rule-based reasoning, information retrieval and, most recently, conceptual models for knowledge representation and reasoning, known ...
Comments