Web text knowledge fusion

Sikang Hu*, Yuanda Cao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2009 2nd Pacific-Asia Conference on Web Mining and Web-Based Application, WMWA 2009
Pages171-174
Number of pages4
DOIs
Publication statusPublished - 2009
Event2009 2nd Pacific-Asia Conference on Web Mining and Web-Based Application, WMWA 2009 - Wuhan, China
Duration: 6 Jun 20097 Jun 2009

Publication series

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

Conference

Conference2009 2nd Pacific-Asia Conference on Web Mining and Web-Based Application, WMWA 2009
Country/TerritoryChina
CityWuhan
Period6/06/097/06/09

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