Data Minig, Ontologies, Web Mining

CALL FOR CHAPTER PROPOSALS

 

Proposal Submission Deadline: November 14, 2009

 

Ontologies-Driven Web Mining: Concepts and Techniques

 

A book edited by Hector Oscar Nigro and Sandra Elizabeth Gonzalez Císaro

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 November 14, 2009, 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 15, 2009 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

November 14, 2009:  Proposal Submission Deadline

December 15, 2009:  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:

In process

 

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

 

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