The Egloo Fuzzy Web Data Source Selection Tool

Author

Goncalves, Marlene ; Tineo, Leonid

Author_Institution

Univ. Simon Bolivar, Caracas

fYear

2007

fDate

3-7 Sept. 2007

Firstpage

355

Lastpage

359

Abstract

The WWW is a very large repository composed of many documents that are stored by several data sources. Web search engines allow retrieval based on keywords. Nevertheless, published documents may be incomplete, obsolete or huge. Therefore, search also might include quality criteria such as completeness, recentness, update frequency, and granularity. Traditional DBMS rigidity does not allow the expression of user preferences based on soft criteria. Fuzzy DBMS, such as SQLfi, are necessary instead. Here we present a tool for the selection of the best data sources and documents in terms of user preferences. Documents and data sources would be described according to quality parameters stored in a catalog. Retrieval would be done by means of fuzzy SQLf queries. Our tool offers a user-oriented wizard to allow the expression of requirements.

Keywords

Internet; SQL; fuzzy logic; fuzzy systems; query processing; relational databases; search engines; Egloo fuzzy Web data source selection tool; SQLfi fuzzy DBMS; WWW; Web search engines; fuzzy logic; fuzzy querying system; keyword based retrieval; published documents; user preferences; user-oriented wizard; Deductive databases; Expert systems; Frequency; Fuzzy logic; Fuzzy systems; Hybrid intelligent systems; Relational databases; Search engines; Web search; World Wide Web;

fLanguage

English

Publisher

ieee

Conference_Titel

Database and Expert Systems Applications, 2007. DEXA '07. 18th International Workshop on

Conference_Location

Regensburg

ISSN

1529-4188

Print_ISBN

978-0-7695-2932-5

Type

conf

DOI

10.1109/DEXA.2007.154

Filename

4312916