Ontology-based approach for legal provision retrieval

被引：2

作者：

Tang, Qi ^{[1
]}

Wang, Ying-Lin ^{[1
]}

Zhang, Ming-Lu ^{[1
]}

机构：

[1] Department of Computer Science and Engineering, Shanghai Jiaotong University

来源：

Journal of Shanghai Jiaotong University (Science) | 2012年 / 17卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Knowledge representation; Law; Ontology; Retrieval;

D O I：

10.1007/s12204-012-1242-8

中图分类号：

学科分类号：

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. © 2012 Shanghai Jiaotong University and Springer-Verlag Berlin Heidelberg.

引用

页码：135 / 140

页数：5

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