上海交通大学学报(英文版) ›› 2012, Vol. 17 ›› Issue (2): 135-140.doi: 10.1007/s12204-012-1242-8

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Ontology-Based Approach for Legal Provision Retrieval

TANG Qi (唐琪), WANG Ying-lin* (王英林), ZHANG Ming-lu (张明禄)   

  1. (Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 200240, China)
  • 出版日期:2012-04-28 发布日期:2012-05-31
  • 通讯作者: WANG Ying-lin* (王英林), E-mail: ylwang@sjtu.edu.cn

Ontology-Based Approach for Legal Provision Retrieval

TANG Qi (唐琪), WANG Ying-lin* (王英林), ZHANG Ming-lu (张明禄)   

  1. (Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 200240, China)
  • Online:2012-04-28 Published:2012-05-31
  • Contact: WANG Ying-lin* (王英林), E-mail: ylwang@sjtu.edu.cn

摘要: 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.

关键词: ontology, law, retrieval, knowledge representation

Abstract: 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.

Key words: ontology, law, retrieval, knowledge representation

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