A corpus analysis approach for automatic query expansion and its extension to multiple databases
ACM Transactions on Information Systems (TOIS)
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Using NLP techniques to identify legal ontology components: concepts and relations
Law and the Semantic Web
Semantic enhancement for legal information retrieval: Iuriservice performance
Proceedings of the 11th international conference on Artificial intelligence and law
Semantics-based legal citation network
Proceedings of the 11th international conference on Artificial intelligence and law
| Hi-index | 0.00 |
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.