In this paper, we present an ontology-based approach for legal provision retrieval. The approach aims at assisting the man who knows little about legal knowledge to inquire appropriate provisions. Legal ontology and legal concept probability model are main functional components in our approach. Legal ontology is extracted from Chinese laws by the natural language processing (NLP) techniques. Legal concept probability model is built from corpus, and the model is used to bridge the gap between legal ontology and natural language inquiries.
TANG Qi (唐琪), WANG Ying-lin* (王英林), ZHANG Ming-lu (张明禄)
. Ontology-Based Approach for Legal Provision Retrieval[J]. Journal of Shanghai Jiaotong University(Science), 2012
, 17(2)
: 135
-140
.
DOI: 10.1007/s12204-012-1242-8
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