Emergent Web Intelligence: Advanced Information Retrieval

  • Richard Chbeir
  • Youakim Badr
  • Ajith Abraham
  • Aboul-Ella Hassanien

Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Bénédicte Le Grand, Marie-Aude Aufaure, Michel Soto
    Pages 1-21
  3. James Gardner, Aaron Krowne, Li Xiong
    Pages 23-45
  4. Mourad Ouzzani, Athman Bouguettaya, Ahmed Elmagarmid
    Pages 47-86
  5. Frederik Hogenboom, Viorel Milea, Flavius Frasincar, Uzay Kaymak
    Pages 87-116
  6. Taha Osman, Dhavalkumar Thakker, Gerald Schaefer
    Pages 117-134
  7. Eirini Giannakidou, Foteini Kaklidou, Elisavet Chatzilari, Ioannis Kompatsiaris, Athena Vakali
    Pages 135-167
  8. Václav Snášel, Ajith Abraham, Suhail Owais, Jan Platoš, Pavel Krömer
    Pages 169-198
  9. Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida
    Pages 199-232
  10. Donn Morrison, Stéphane Marchand-Maillet, Eric Bruno
    Pages 269-299
  11. Rahul Singh, Bibek Bhattarai
    Pages 301-320
  12. S. Benbernou, M. S. Hacid, A. Makhoul, A. Mostefaoui
    Pages 321-340
  13. Sugata Sanyal, Ayu Tiwari, Sudip Sanyal
    Pages 341-369
  14. Somchart Fugkeaw, Jarernsri L. Mitrpanont, Piyawit Manpanpanich, Sekpon Juntapremjitt
    Pages 393-413
  15. Rachid Saadi, Jean-Marc Pierson, Lionel Brunie
    Pages 415-454
  16. Marc Pasquet, Delphine Vacquez, Christophe Rosenberger
    Pages 455-469
  17. A. Y. Aguilar-Bustos, C. Cruz-Hernández, R. M. López-Gutiérrez, E. Tlelo-Cuautle, C. Posadas-Castillo
    Pages 471-486
  18. Back Matter
    Pages 487-487

About this book

Introduction

World Wide Web (WWW) provides interlinked hypertext documents (Web pages) that may contain text, images, videos, and other multimedia. WWW is growing at a remarkable rate and finding appropriate information can therefore be challenging. Web information retrieval deals with the search for documents, for information within documents and for metadata about documents, as well as that of searching databases in the WWW. Web information retrieval is an interdisciplinary science and deals with this challenge by exploiting various information technologies and computational intelligence approaches to design the next generation of web-information retrieval technologies.

This Volume provides reviews of cutting-edge technologies and insights into various topics related to XML-based and multimedia information access and retrieval under the umbrella of Web Intelligence, it also illustrates how organizations can gain competitive advantages by applying new techniques in real-world scenarios. The 18 chapters are arranged in three parts and have identified several important problem formulations in the area of Web and multimedia information querying, modelling user interactions and advanced information security and access control models. Chapters are authored by reputed scientists in the field and all articles are self-contained to provide the greatest reading flexibility.

Keywords

Social Tagging Web Intelligence agents artificial intelligence information retrieval learning modeling multimedia semantic web

Editors and affiliations

  • Richard Chbeir
    • 1
  • Youakim Badr
    • 2
  • Ajith Abraham
    • 3
  • Aboul-Ella Hassanien
    • 4
  1. 1.Fac. Sciences MirandeUniversité de BourgogneDijon CXFrance
  2. 2.INSA de LyonVilleurbanne CXFrance
  3. 3.TechnologyNorwegian University of Science &TrondheimNorway
  4. 4.College of Business & AdministrationKuwait UniversitySafatKuwait

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84996-074-8
  • Copyright Information Springer-Verlag London 2010
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-84996-073-1
  • Online ISBN 978-1-84996-074-8
  • Series Print ISSN 1610-3947
  • About this book