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