Relation Extraction between Related Concepts by Combining Wikipedia and Web Information for Japanese Language

被引：0
|
作者：
Shirakawa, Masumi [1 ]
Nakayama, Kotaro [2 ]
Aramaki, Eiji [2 ]
Hara, Takahiro [1 ]
Nishio, Shojiro [1 ]
机构：
[1] Osaka Univ, Grad Sch Informat Sci & Technol, Dept Multimedia Engn, 1-5 Yamadaoka, Suita, Osaka 5650871, Japan
[2] Univ Tokyo, Cent Knowledge Structuring, Bunkyo-ku, Tokyo 113-8656, Japan
来源：
INFORMATION RETRIEVAL TECHNOLOGY | 2010年 / 6458卷
关键词：
ontology; natural language processing; thesaurus;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Construction of a huge scale ontology covering many named entities, domain-specific terms and relations among these concepts is one of the essential technologies in the next generation Web based on semantics. Recently, a number of studies have proposed automated ontology construction methods using the wide coverage of concepts in Wikipedia. However, since they tried to extract formal relations such as is-a and apart-of relations, generated ontologies have only a narrow coverage of the relations among concepts. In this work, we aim at automated ontology construction with a wide coverage of both concepts and these relations by combining information on the Web with Wikipedia. We propose a relation extraction method which receives pairs of co-related concepts from an association thesaurus extracted from Wikipedia and extracts their relations from the Web.
引用
收藏
页码：310 / +
页数：2
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