Web text knowledge fusion

Sikang Hu*, Yuanda Cao

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

There is still no complete and unified theoretical model for studying the research issues such as redundancy, localization, and fuzziness existed in the fusion of web text knowledge. To this end, this paper proposes a fusion framework, called Web Pages Knowledge Fusion Framework (WPKFF). It presents the semantic description of attribute fusion rules, description information fusion rules and attribute-value and description information fusion rules. These rules provide a feasible model and a knowledge base for succeeding induction and reasoning.

源语言英语
主期刊名Proceedings of the 2009 2nd Pacific-Asia Conference on Web Mining and Web-Based Application, WMWA 2009
171-174
页数4
DOI
出版状态已出版 - 2009
活动2009 2nd Pacific-Asia Conference on Web Mining and Web-Based Application, WMWA 2009 - Wuhan, 中国
期限: 6 6月 20097 6月 2009

出版系列

姓名Proceedings of the 2009 2nd Pacific-Asia Conference on Web Mining and Web-Based Application, WMWA 2009

会议

会议2009 2nd Pacific-Asia Conference on Web Mining and Web-Based Application, WMWA 2009
国家/地区中国
Wuhan
时期6/06/097/06/09

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