Soft approaches to Web Information Retrieval

2015 IFSA-EUSFLAT 2015

(June 30 – July 3, Gijón, Asturias, Spain)

Submission deadline is extended to February 1st, 2015

http://www.softcomputing.es/ifsa-eusflat2015/

Scope and Motivation

Subjectivity, vagueness, and imprecision are typical properties of any information access activity on the Web. The fuzzy logic and soft computing tools are very appropriate to deal with imprecision, vagueness, partial truth, and approximation. With such tools it is possible to define flexible approaches to improve personalized information access processes on the Web. The use of both fuzzy and soft computing tools can contribute satisfactorily to solve the different problems recently appeared in the Web.

The objective of the special session is to provide an opportunity to exchange ideas on the application of fuzzy logic and soft computing in the design of flexible approaches to information access on the Web. The special session aims at providing a forum for the discussion of recent advances in this research field and to offer an opportunity for researchers and practitioners to identify new promising research directions.

The organizers welcome contributions that report on the application of fuzzy and soft computing tools within the fields of (but not limited to)

• Information retrieval systems
• Information filtering systems
• Recommendation systems
• Web 2.0 applications
• Digital libraries
• Web quality evaluation
• Hypermedia information systems
• Text categorization on the Web
• Emotion and sentiment analysis on the Web
• Web related technologies in data representation and querying

where the information retrieval and information access processes are modelled and/or managed using fuzzy and soft computing techniques and their hybridizations.

Organizers:

Enrique Herrera-Viedma, Granada University, Spain, viedma@decsai.ugr.es

Vincenzo Loia, University of Salerno, Italy,  “Vincenzo Loia” <loia@unisa.it>

Jose Angel Olivas, University of Castilla La Mancha, JoseAngel.Olivas@uclm.es