DocumentCode
2752692
Title
Fuzzy web information retrieval system with fuzzy thesaurus using fuzzy relational BK-products
Author
Lee, Joseph B. ; Kim, Eunjin
Author_Institution
Dept. of Comput. Sci., Univ. of North Dakota, Grand Forks, ND, USA
fYear
2012
fDate
10-15 June 2012
Firstpage
1
Lastpage
8
Abstract
This study develops a web information retrieval system using the fuzzy relations in the indexing and ranking portions of standard web retrieval methods. The system was developed, including crawler, indexer, ranking portion, and user search structure. The BK-products of fuzzy relations with closure/interior properties are used to construct a fuzzy thesaurus and further to retrieve the relevant documents. The results of the system are evaluated and compared with the existing search methods.
Keywords
Internet; fuzzy set theory; indexing; information retrieval; thesauri; fuzzy Web information retrieval system; fuzzy relational BK-products; fuzzy thesaurus; indexing; ranking portions; standard Web retrieval methods; user search structure; Crawlers; Engines; Indexing; Thesauri; fuzzy relation; fuzzy relational BK-product; fuzzy thesaurus; fuzzy web information retrieval; ranking;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
Conference_Location
Brisbane, QLD
ISSN
1098-7584
Print_ISBN
978-1-4673-1507-4
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZ-IEEE.2012.6251175
Filename
6251175
Link To Document