An ontology in owl for legal case-based reasoning

Artificial Intelligence and Law 16 (4):361-387 (2008)
Abstract
The paper gives ontologies in the Web Ontology Language (OWL) for Legal Case-based Reasoning (LCBR) systems, giving explicit, formal, and general specifications of a conceptualisation LCBR. Ontologies for different systems allows comparison and contrast between them. OWL ontologies are standardised, machine-readable formats that support automated processing with Semantic Web applications. Intermediate concepts, concepts between base-level concepts and higher level concepts, are central in LCBR. The main issues and their relevance to ontological reasoning and to LCBR are discussed. Two LCBR systems (AS-CATO, which is based on CATO, and IBP) are analysed in terms of basic and intermediate concepts. Central components of the OWL ontologies for these systems are presented, pointing out differences and similarities. The main novelty of the paper is the ontological analysis and representation in OWL of LCBR systems. The paper also emphasises the important issues concerning the representation and reasoning of intermediate concepts.
Keywords OWL  Ontology  Legal reasoning  Legal cases  Case-based reasoning
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DOI 10.1007/s10506-008-9070-8
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Defeasible Reasoning.John Pollock - 1987 - Cognitive Science 11 (4):481-518.

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