Ontology-Based Approach for Legal Provision Retrieval

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. Lega...

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Published inShanghai jiao tong da xue xue bao Vol. 17; no. 2; pp. 135 - 140
Main Author 唐琦 王英林 张明禄
Format Journal Article
LanguageEnglish
Published Heidelberg Shanghai Jiaotong University Press 01.04.2012
Subjects
Architecture
Computer Science
Electrical Engineering
Engineering
Laws
Legal
Life Sciences
Materials Science
Natural language processing
Retrieval
law
TP 391.1
knowledge representation
retrieval
ontology
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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.
AbstractList 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.
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.
Author 唐琦 王英林 张明禄
AuthorAffiliation Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 200240, China
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Cites_doi 10.1016/j.specom.2003.08.002
10.1145/1135777.1135988
10.3115/1119250.1119280
10.1023/A:1008242417011
10.1007/BF00118479
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Issue 2
Keywords law
TP 391.1
knowledge representation
retrieval
ontology
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TANG Qi , WANG Ying-lin, ZHANG Ming-lu （Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 200240, China）
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.
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SubjectTerms Architecture
Computer Science
Electrical Engineering
Engineering
Laws
Legal
Life Sciences
Materials Science
Natural language processing
Retrieval
Title Ontology-Based Approach for Legal Provision Retrieval
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