Applications of concept relation network to web search

  • Authors:

  • Kenneth Wai-Ting Leung;Hing Yuet Fung;Dik Lun Lee

  • Affiliations:

  • Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology

  • Venue:
  • Proceedings of the 1st International Workshop on Linked Web Data Management
  • Year:
  • 2011

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Abstract

In this paper, we propose a method to extract concepts from the search results of a query. By treating each retrieved concept as a query, it recursively constructs a network of concepts, called Concept Relation Network (CRN), representing different semantic interpretations of the queries. CRN is a semantic network that can be automatically constructed and maintained using existing search engines (e.g., Google) on the web. By employing large scale commercial search engines, CRN can derive a large number of highly coherent, highly related concepts. The semantic information stored in CRN can be used to improve the performance of web search systems, such that more accurate information can be recommended to the user. In this paper, we propose several applications of CRN to web search.