Title :
Web Text Knowledge Fusion
Author :
Hu, Sikang ; Cao, Yuanda
Author_Institution :
Sch. of Comput. Sci. & Technol., Beijing Inst. of Technol., Beijing, China
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.
Keywords :
Web sites; knowledge engineering; Web pages knowledge fusion framework; Web text knowledge fusion; attribute fusion rules; description information fusion rules; induction; reasoning; Computer science; Distributed computing; Explosions; IP networks; Information retrieval; Knowledge acquisition; Natural languages; Network synthesis; Statistical distributions; Web pages; formal semanteme; fusion framework; fusion rules; knowledge acquisition; web text;
Conference_Titel :
Web Mining and Web-based Application, 2009. WMWA '09. Second Pacific-Asia Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3646-0
DOI :
10.1109/WMWA.2009.61