Ontologies-Driven Web Mining: Concepts and Techniques

CALL FOR CHAPTER PROPOSALS

Proposal Submission Deadline: December 5, 2010

Ontologies-Driven Web Mining: Concepts and Techniques

A book edited by Hector Oscar Nigro and Sandra Elizabeth Gonzalez C�saro

Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina

 

 

The bulk of this manuscript is already complete, but we are seeking a few additional chapters. The book will be published by IGI Global in 2011.

 

Introduction

Semantic Web mining is a rapidly advancing field, combining recent advances in Semantic Web and Web mining. Use of ontologies is important for Semantic Web technologies and methods, since knowledge produced by ontologies helps define the structure and scope for Web content mining and can be used to improve the process and the results of mining. Learning ontologies and/or their concepts is both challenging and necessary when creating scalable solutions for a wide range of Semantic Web technologies.

 

Recent applications which exploit the interactions between ontologies and Web mining are being developed for sentiment analysis, opinion mining, and affective computing; search engine optimization and Web positioning; and Web intelligence (WI), the interactions between advanced engineering, advanced information technology (IT), and artificial intelligence (AI).

 

Objective of the Book

This publication should describe state-of-the-art approaches, innovative theoretical supports, advanced and successful implementations, as well as the latest empirical research findings in ontologies-driven Web mining. The book will contain 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 with an integral vision of the topic, specifically focusing on those areas that explore new methodologies or examine real case studies–all of them ontologies-based.

 

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 concepts in data mining and 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:

 

        Theoretical foundations of Web mining using an ontologies-based approach

        Ontologies in Web mining processes

        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

        Search engine optimization using ontologies

        Web positioning and inductive learning

        Opinion mining with ontologies

        Ontologies and Web intelligence (WI)

        Sentiment analysis

        Affective computing

        Ontologies and intelligent social networks

        Engineering knowledge, representation, planning, discovery, and data extraction for ontology-driving Web mining

        Real case studies which implement ontologies-based Web mining

 

For example, already accepted chapters discuss topics including ontologies in tourism, socially-constructed knowledge in Web optimization, and an application for identifying polarized Wikipedia articles.

 

Submission Procedure

Researchers and practitioners are invited to submit on or before December 5, 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 December 20, 2010 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by February 15, 2011. 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 scheduled for release in 2011.

 

Important Dates

 

We would like all items as soon as possible, and are willing to accelerate the schedule. But here’s an example timeline:

 

December 5, 2010:    Proposal Submission Deadline

December 20, 2010:  Notification of Acceptance

February 15, 2011:    Full Chapter Submission

March 30, 2011:        Review Results Returned

April 30, 2011:           Final Chapter Submission

May 28, 2011:           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 Gonz�lez C�saro

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, please write with copy sagonci@gmail.com

 

 

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

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