An automatic semantic relationships discovery approach

Authors:
Hai Zhuge;Liping Zheng;Nan Zhang;Xiang Li
Affiliations:
Chinese Academy of Sciences, China;Chinese Academy of Sciences, China;Chinese Academy of Sciences, China;Chinese Academy of Sciences, China
Venue:
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Year:
2004

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Abstract

An important obstacle to the success of the Semantic Web is that the establishment of the semantic relationship is labor-intensive. This paper proposes an automatic semantic relationship discovering approach for constructing the semantic link network. The basic premise of this work is that the semantics of a web page can be reflected by a set of keywords, and the semantic relationship between two web pages can be determined by the semantic relationship between their keyword sets. The approach adopts the data mining algorithms to discover the semantic relationships between keyword sets, and then uses deductive and analogical reasoning to enrich the semantic relationships. The proposed algorithms have been implemented. Experiment shows that the approach is feasible.