Web search results clusterization with background knowledge

Julian Szymański

doi:10.1109/hsi.2009.5090952

Web search results clusterization with background knowledge

Abstract

Clusterization of web pages is an attractive wayfor presenting web resources. Arranging pages into groups ofsimilar topics simplifies and shorten the search process. Thispaper concerns the problem of clustering web pages and presentsour approach to this issue. Our solution is focused on findingsimilarities between documents delivered by different web searchengines. This process was accomplished by applying WordNetdictionary.

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Julian Szymański dr hab. inż.

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Category:: Conference activity
Type:: materiały konferencyjne indeksowane w Web of Science
Title of issue:: HSI: 2009 2ND CONFERENCE ON HUMAN SYSTEM INTERACTIONS strony 47 - 50
Language:: English
Publication year:: 2009
Bibliographic description:: Szymański J..: Web search results clusterization with background knowledge, W: HSI: 2009 2ND CONFERENCE ON HUMAN SYSTEM INTERACTIONS, 2009, ,.
DOI:: Digital Object Identifier (open in new tab) 10.1109/hsi.2009.5090952
Verified by:: Gdańsk University of Technology