Title :
Web search results clusterization with background knowledge
Author :
Julian Szymanski
Author_Institution :
Department of Electronic, Telecommunication and Informatics, Gda?sk University of Technology, Poland
fDate :
5/1/2009 12:00:00 AM
Abstract :
Clusterization of Web pages is an attractive way for presenting Web resources. Arranging pages into groups of similar topics simplifies and shorten the search process. This paper concerns the problem of clustering Web pages and presents our approach to this issue. Our solution is focused on finding similarities between documents delivered by different Web search engines. This process was accomplished by applying WordNet dictionary.
Keywords :
"Web search","Search engines","Web pages","Frequency","Metasearch","Internet","Large scale integration","Informatics","Dictionaries","Web sites"
Conference_Titel :
Human System Interactions, 2009. HSI ´09. 2nd Conference on
Print_ISBN :
978-1-4244-3959-1
Electronic_ISBN :
2158-2254
DOI :
10.1109/HSI.2009.5090952
