[AISWorld] LAST CALL FOR CHAPTER PROPOSALS

[Sandra Gonzalez Cisaro]

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****LAST CALL FOR CHAPTER PROPOSALS****

*Proposal Submission Deadline: FEBRUARY 1st, 2010*
*Ontologies-Driven Web Mining: Concepts and Techniques*

A book edited by
Hector Oscar Nigro and Sandra Elizabeth Gonzalez Cisaro
Universidad Nacional del Centro de la Provincia de Buenos Aires, ARGENTINA

To be published by IGI Global:
http://www.igi-global.com/requests/details.asp?ID=732
*
Introduction*

Semantic Web mining aims to combine the development of two research areas,
namely Semantic Web and Web mining. Web mining extracts information from the
content of the pages, its structure of relationships (links), and the users’
browsing records.
Both areas are collaborating in different ways:
a)    Mining Web techniques can help create a Semantic Web. A very important
portion of
Semantic Web is the ontologies. The ontology is represented as a set of
concepts and their
relevant interrelations for certain domains of knowledge. The challenge is
to learn ontologies
and/or their concepts, in order to make a scalable solution for a wide range
of Semantic Web
technologies.
b)    Knowledge in the form of ontologies, or other forms of representation
of knowledge, can
be used to improve the process and the results of mining Web. Knowledge
provided by the ontology is useful in defining the structure and the scope
for Web content mining.
In the interaction between ontologies and Web mining, we can mention the
following applications:
* Sentiment analysis, also called opinion mining, is responsible for
classifying words,
texts or documents of opinion, and emotions or feelings that express
agreement. It works in
tagging texts and their components, which indicate if the expression is
positive, negative, or
neutral, and in the field of the subjectivity of texts, as well. The area is
called affective
computing, that is, the development of means to enable machines to detect
and to respond in an appropriate manner to the emotions of users.
* Optimization in search engines is criteria that must be taken into account
in order to plan a
campaign of positioning a Web page, its life cycle, and a selection of tools
to help analyze the positioning of a site, as well as give keys to improve
it. The study of the various basic
attributes of an individual Web resource is not sufficient to infer the
different strategies of
positioning of a search engine. The fundamental problem is that the
relationship between the
different elements of the page and weight that each one brings to the final
positioning. The
application of various techniques of inductive learning can be a starting
point for the
optimization of the Web positioning.
* Web intelligence (WI) is a research paradigm aimed at exploration of the
fundamental
interactions between artificial intelligence (AI), advanced engineering, and
advanced information technology (AIT). Engineering, here, is a general term
referring to,
(a) a new area, for example, informatics of the brain, IA human level,
intelligent agents, and intelligence social networks;
(b) classics, such as engineering knowledge, representation, planning,
discovery, and data
extraction.
The ontologies will give semantic richness to Web mining process, thus they
will facilitate the understanding of the results obtained and the whole
process performance.

*Objective of the Book*

This book aims at publishing original academic or industrial work in the
form of high quality,
scientific papers. The key objective is to provide Web mining students,
practitioners,
professionals, professors, and researchers an integral vision of the topic,
specifically focusing
on those areas that explore new methodologies or examine real study case—all
of them ontologies-based.
This publication should describe the state-of-the-art, innovative
theoretical supports, advanced and successful implementations, as well as
the latest empirical research findings in the area of ontologies-driven Web
mining.
*
Target Audience*

The target audience of this book will be composed of readers who wish to
learn how to apply
ontologies-driven Web mining to real world problems. The purpose is to show
users how to go from theory and algorithms to real applications.
The book will present to students, practitioners, professionals, professors,
and researchers
basic notions in data mining or Web mining. Information technology
researchers and practitioners can increase their knowledge and skills with
these new techniques. This book can be used as a library reference,
upper-level course supplement, or for postgraduate courses.
Recommended topics include, but are not limited to, the following:

* Theoretic foundations on Web mining ontologies-based approach
* Ontologies in Web mining process
* Ontology-based interpretation and validation of mined knowledge
* Intelligent assistants for Web mining with ontologies
* Interaction from ontologies to Web mining
* Knowledge grids and Web mining ontology
* Ontology-based optimization in search engines
* Opinion mining with ontologies
* Real study cases, implementing Web mining based on ontologies

*Submission Procedure*

Researchers and practitioners are invited to submit on or before FEBRUARY
1st, 2010, a 2-3 page chapter proposal clearly explaining the mission and
concerns of his or her proposed chapter.
Authors of accepted proposals will be notified by FEBRUARY 15, 2010 about
the status of their proposals and sent chapter guidelines. Full chapters are
expected to be submitted by March 14, 2010. All submitted chapters will be
reviewed on a double-blind review basis. Contributors may also be requested
to serve as reviewers for this project.

*Publisher*

This book is scheduled to be published by IGI Global (formerly Idea Group
Inc.), publisher of the “Information Science Reference” (formerly Idea Group
Reference), “Medical Information Science Reference,” “Business Science
Reference,” and “Engineering Science Reference” imprints. For additional
information regarding the publisher, please visit www.igi-global.com. This
publication is anticipated to be released in 2010.

*Important Dates*

*FEBRUARY 1st, 2010:    Last Proposal Submission Deadline*
FEBRUARY 15, 2010:    Notification of Acceptance
March 14, 2010:    Full Chapter Submission
May 30, 2010:    Review Results Returned
June 30, 2010:    Final Chapter Submission
July 15, 2010:    Final Deadline

*Editorial Advisory Board Members:*

Marie-Aude Aufaure. Ecole Centrale Paris, FRANCE.
Mario Cannataro. University "Magna Graecia" of Catanzaro, ITALY.
James Geller. New Jersey Institute of Technology. USA.
Vasant Honavar. Iowa State University. USA.
Gian Piero Zarri. University Paris-Est. FRANCE

Inquiries and submissions can be forwarded electronically (Word document) or
by mail to:

Hector Oscar Nigro or Sandra Elizabeth González Císaro
INTIA- Department of Computer Sciences
Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina
Paraje Arroyo Seco. Campus Universitario. B7001BBO Tandil, Buenos Aires,
Argentina
Phone: 54-2293- 439680
Fax: 54-2293- 439681
E-mail: dmontolo at exa.unicen.edu.ar
          sagonci at gmail.com

For further details please visit the book Web page:
http://www.exa.unicen.edu.ar/dmontolo
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