Acquiring an ontology from the text a legal case study

Authors:
Núria Casellas;Aleks Jakulin;Joan-Josep Vallbé;Pompeu Casanovas
Affiliations:
Institute of Law and Technology, Universitat Autònoma de Barcelona, Catalonia, Spain;Jozef Stefan Institute, Ljubljana, Slovenja;Institute of Law and Technology, Universitat Autònoma de Barcelona, Catalonia, Spain;Institute of Law and Technology, Universitat Autònoma de Barcelona, Catalonia, Spain
Venue:
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Year:
2006

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Abstract

A topic ontology applies the usual ontological constructs to the task of annotating the topic of a document. The topic is the highly summarized essence of the document. The topics are usually chosen intuitively and rarely questioned. However, we have studied several ways of allocating frequently asked questions from a legal domain into a set of topical sub-domains. Our criteria were: 1) The sub-domains should not overlap. 2) The sub-domain should be objectively identifiable from the words of the text. 3) Which words and grammatical categories can serve as keywords? 4) Can the structure of sub-domains be induced semi-automatically from the text itself?