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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Extended Document Representation for Search Result Clustering
verfasst von : S. Hoa Nguyen, Wojciech Świeboda, Grzegorz Jaśkiewicz
Erschienen in: Intelligent Tools for Building a Scientific Information Platform
Verlag: Springer Berlin Heidelberg
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Organizing query results into clusters facilitates quick navigation through search results and helps users to specify their search intentions. Most meta-search engines group documents based on short fragments of source text called
snippets
. Such a model of data representation in many cases shows to be insufficient to reflect semantic correlation between documents. In this paper, we discuss a framework of document description extension which utilizes domain knowledge and semantic similarity. Our idea is based on application of Tolerance Rough Set Model, semantic information extracted from source text and domain ontology to approximate concepts associated with documents and to enrich the vector representation.