FuzzyFresh: A Fuzzy Logic Approach to the Ranking of Structured Documents

Author

Perez-Iglesias, J. ; Fresno, Víctor ; Perez-Aguera, J.R.

Volume

1

fYear

2008

fDate

9-12 Dec. 2008

Firstpage

755

Lastpage

758

Abstract

With the increase in the use of mark-up languages, the classic IR models have been extended in order to be applied to structured documents. Generally these adaptations have been carried out by weighting the fields that form the document structure, and making the assumption of statistics independence between fields, forcing to an estimation of the different weights applied to each field. In this paper a new ranking function for structured IR and based on Fuzzy Logic is proposed, where its main aim is to model through heuristics and expert knowledge the relations between fields.

Keywords

document handling; expert systems; fuzzy logic; hypermedia markup languages; information retrieval; statistical analysis; FuzzyFresh; IR models; document structure; expert knowledge; fuzzy logic approach; mark-up languages; statistics independence; structured documents ranking; Fuzzy logic; HTML; Information retrieval; Intelligent agent; Intelligent structures; Machine learning; Proposals; Statistics; Technological innovation; Web pages; Fuzzy Logic; Information retrieval; Ranking Function; Web page retrieval;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on

Conference_Location

Sydney, NSW

Print_ISBN

978-0-7695-3496-1

Type

conf

DOI

10.1109/WIIAT.2008.178

Filename

4740543