Wiki as Ontology for knowledge discovery on WWW

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.

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