A Hvs Model for Representation of Domain-oriented Web Page Topic Features

نویسندگان

  • XIANGHUA WU
  • QIAO GUO
چکیده

Domain-oriented web page extraction is a new and practical direction in the field of information extraction. The paper focuses on the representation of domain-oriented web page topic features, and hierarchical vector space (HVS) model is put forward. Considering the hierarchical characteristics of the web page itself, topic features of the web page are expressed more effectively by HVS model from the facets of the page structure and the content. Then the topic-related page identification problem is discussed by the similarity calculation. Experimental results show good accuracy and applicability for our system to domain-oriented web extraction.

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تاریخ انتشار 2012