Using logic programming to model Multi-Agent web legal systems – an application report
Proceedings of the 8th international conference on Artificial intelligence and law
Relational information retrieval through natural language analysis
INAP'01 Proceedings of the Applications of prolog 14th international conference on Web knowledge management and decision support
Combining the Best of Two Worlds: NLP and IR for Intranet Search
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
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We present a dialogue system that enables the access in natural language to a web law information retrieval system. We use a semantic web language to model the document knowledge and to define an ontology representing the main classes of domain objects, their properties and their relations. Our system includes an ontology in DAML+OIL language describing the documents structure, a document database build with a subset of the Portuguese Attorney General's Office documents were each document includes a field with its semantic content described in DAML+OIL. The dialogue system interprets the user natural language sentences using the ontology, the documents semantic content and the inferred user attitudes.