DocumentCode :
2553667
Title :
Wiki as Ontology for knowledge discovery on WWW
Author :
Yin, Lan ; Wang, Jiawei ; Huang, Ying
fYear :
2012
fDate :
29-31 May 2012
Firstpage :
981
Lastpage :
985
Abstract :
Due to the increasing amount of data Available online, the World Wide Web has becoming one of the most valuable resources for information retrievals and knowledge discovery. Web mining technologies (usually divided into Content mining, Structure mining and Usage mining) are the right solutions for knowledge discovery on WWW. In fact the work depends on two essential issues: One is the knowledge itself, which means analyze what´s the required information; the other is how does machine know the requirement well, which means to realize a feasible method for computation and the complex semantic measurement. This paper aimed to discuss three aspects of knowledge we defined: Content, structure and Prior. It means knowledge discovery on WWW should consider content features, structure relations and Priors from background simultaneously. A practice of Wiki as ontology also proposed in this paper. The multiuser writing system will bring chance as large corpus, we applied the linked data for construction of a dynamic semantic network. And which can be used in short text computation such as query expansion and so on. For the consideration of swarm intelligence the key issues and lessons are given in this paper, linked data such as wiki will provide chances and challenges for computability in the future.
Keywords :
Internet; Web sites; data mining; ontologies (artificial intelligence); particle swarm optimisation; query processing; text analysis; Web mining technology; Wiki; World Wide Web; complex semantic measurement; content features; content mining; dynamic semantic network; information retrievals; knowledge discovery; multiuser writing system; ontology; query expansion; short text computation; structure mining; structure relations; swarm intelligence; usage mining; Data mining; Electronic publishing; Encyclopedias; Internet; Knowledge engineering; Semantics; Dynamic Semantic Network; Ontology; Web Mining; Wiki;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
Type :
conf
DOI :
10.1109/FSKD.2012.6234366
Filename :
6234366
Link To Document :
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