Search result clustering using semantic web data

Authors:
Marek Kopel;Aleksander Zgrzywa
Affiliations:
Wroclaw University of Technology, Wroclaw, Poland;Wroclaw University of Technology, Wroclaw, Poland
Venue:
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
Year:
2011

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Abstract

Traditional Web (Web 1.0) is a web of documents. Finding documents is the main goal of information retrieval. There were some improvements in IR (Information Retrieval) on the Web since tf-idf (term frequencyinverse document frequency) concerning using other information than just documents themselves. One of those approaches is analyzing link structure used in HITS and Google PageRank. Another approach may be using time metadata to enable filtering based on document publishing date as used e.g. in Google Blog Search. In this paper a Web IR method using relationship metadata and clustering is presented.