Next Generation Search Engines: Advanced Models for Information Retrieval

Next Generation Search Engines: Advanced Models for Information Retrieval

Christophe Jouis (Universite Paris III, France and LIP6-Universite Pierre et Marie Curie, France), Ismail Biskri (Universite du Quebec A Trois Rivieres, Canada), Jean-Gabriel Ganascia (LIP6 and CNRS-Universite Pierre et Marie Curie, France) and Magali Roux (LIP6 and CNRS-Universite Pierre et Marie Curie, France)
Indexed In: SCOPUS View 1 More Indices
Release Date: March, 2012|Copyright: © 2012 |Pages: 560
DOI: 10.4018/978-1-4666-0330-1
ISBN13: 9781466603301|ISBN10: 1466603305|EISBN13: 9781466603318
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Description & Coverage

Recent technological progress in computer science, Web technologies, and the constantly evolving information available on the Internet has drastically changed the landscape of search and access to information. Current search engines employ advanced techniques involving machine learning, social networks, and semantic analysis.

Next Generation Search Engines: Advanced Models for Information Retrieval is intended for scientists and decision-makers who wish to gain working knowledge about search in order to evaluate available solutions and to dialogue with software and data providers. The book aims to provide readers with a better idea of the new trends in applied research.


The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence (AI) Enabled Search Engines
  • Clustering
  • Context-aware system, Mobile search engine
  • Crosslingual search
  • Customisation and Information retrieval
  • Electronic discovery and legal search
  • Human-centred search, visualization
  • Index Design, Index Compression
  • Information seeking and use, information behaviour
  • Metadata, e-sciences
  • Mobile search, Personalization
  • Photo database
  • Quality measurement, retrieval effectiveness
  • Question Answering
  • Scalability, Distributed Information Retrieval
  • Semantic Search, Linguistic Ontologies
  • Text Mining
  • Web browsers, customization
Reviews and Testimonials

"This book is intended for scientists and decision-makers who wish to gain working knowledge of searches in order to evaluate available solutions and to dialogue with software and data providers. It also targets intranet or Web server designers, developers and administrators who wish to understand how to integrate search technology into their applications according to their needs. This book is further designed for designers, developers and administrators of databases, groupware applications and document management systems (EDM), as well as directors of libraries or documentation centers who seek a deeper understanding of the tools they use, and how to set up new information systems. Lastly, this book is aimed at all professionals in technology or competitive intelligence and, more generally, the specialists of the information market."

– Christophe Jouis, University Paris Sorbonne Nouvelle and LIP6 (UPMC & CNRS), France; Ismaïl Biskri, University of Quebec at Trois Rivieres, Canada; Jean-Gabriel Ganascia, LIP6, (UPMC & CNRS), France; and Magali Roux, INIST and LIP6, (UPMC &

This collection of 20 essays explores next-generation search engines, covering topics such as indexing, metadata, semantic models and search-engine interfaces. The essays offer a truly international perspective on developments in next-generation search engines. This book is comprehensively researched and detailed and is recommended for those involved in the development and implementation of information-retrieval models. It is also likely to be of interest to those wishing to learn more about next-generation search engines and the current trends in information-retrieval models.

– The Australian Library Journal, Vol. 62, No. 2 - Anne Sara, Sydney

This work is abundant in innovative ideas, new concepts, and real-world practices. The realization or implementation of the perspectives and models included in the book may result in real advances and substantive changes in information markets. Advanced students, academics and researchers, as well as knowledge workers, information and computer scientists and web designers, can benefit from reading this work.

– Alireza Isfandyari-Moghaddam, Islamic Azad University, Hamedan Branch, Online Information Review, Vol. 37, No. 3
Table of Contents
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Editor/Author Biographies
Christophe Jouis is assistant professor at the University Paris Sorbonne Nouvelle, France. He received a Ph.D. in Applied Mathematics at the “Ecole des Hautes Etudes en Sciences Sociales” (EHESS); and CAMS (“Centre d’Analyse et de Mathématiques Sociales”), OPTION: Science, Logic, Linguistics. From 2000 to 2004 he was associate professor in the Department of Computer Science at the University of Quebec at Trois-Rivieres (Canada), under the direction of Professor Ismail Biskri. In 2005, he joined the LIP6 ("Laboratoire d'Informatique de Paris 6), affiliated with the University Pierre et Marie Curie (UMPC) and the CNRS (France). Within the LIP6, he is currently a member of the research team ACASA (“Cognitive Agents and Automated Symbolic Learning”), led by Professor Jean-Gabriel Ganascia. His research interests are in natural language processing (NLP), cognitive sciences, ontology, typicality, data mining and information retrieval.
Ismaïl Biskri is full professor in computational linguistics and artificial intelligence at the computer science department of the University of Quebec at Trois-Rivières. He is also associate professor at the Computer Science Department of the University of Quebec at Montreal. He is a researcher at the LAMIA Laboratory. His research interests concern aspects of fundamental research on the syntactic and functional semantic analysis of natural languages with using models of Categorial Grammars and combinatory logic. He also works on specific issues in text-mining, information retrieval, and terminology. His research is funded by the Canadian granting agencies FQRSC, SSHRC, and NSERC.
Jean-Gabriel Ganascia is presently Professor of computer science at Paris University Pierre et Marie Curie (Paris VI) and researcher at the computer science laboratory of Paris VI University (LIP6) where he leads the ACASA (“Cognitive Agents and Automated Symbolic Learning”) team. He originally worked on symbolic machine learning and knowledge engineering. His “thèse d'état”, defended in 1987, was a pioneering work on the algebraic framework on which the association rule extraction techniques are based. Today, his main scientific interests cover different areas of artificial intelligence: scientific discovery, cognitive modeling, data-mining, and digital humanities. He has published more than 350 scientific papers in conference proceedings, journals, and books. In the past, Jean-Gabriel Ganascia was also program leader in the CNRS executive from 1988 to 1992 before moving to direct the Cognitive Science Coordinated Research Program and head the Cognition Sciences Scientific Interest Group from 1993 until 2000.
Magali Roux is a CNRS Research Director involved in the development and administration of programs and courses in e-Biology. Her research interests span a wide range with domains centered on knowledge organization and data management in Medical Biology, Molecular Biology and, recently, in Systems Biology in the context of e-Sciences. After obtaining her Ph.D. in Biochemistry from the University of the Mediterranean in 1979, she started as assistant-professor at the Marseille University Hospital before being offered a post-doctoral position at Harvard University in the Pr. J. Strominger laboratory, where she provided one of the first bioinformatics analyses performed on DNA data. Since that, she has produced leading contributions in the fields of Immunology and Cancer. In the early 2000s, she moved from Experimental to Digital Biology to promote interoperability, data sharing and re-use. Dr. Roux serves on numerous study panels and is currently active in a number of scientific societies.
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Editorial Review Board
  • Berry, Michael W., University of Tennessee, USA
  • Biskri, Ismaïl, Professor, Université du Québec à Trois-Rivières, Québec, Canada
  • Boughanem, Mohand, Université Paul Sabatier, France
  • Bourdaillet, Julien, Université de Montréal, Québec, Canada
  • Bourdoncle, François, EXALEAD, France
  • Chailloux, Jérôme, ERCIM (European Research Consortium for Informatics and Mathematics), France
  • Chaudiron, Stéphane, Université Lille 3, France
  • Constant, Patrick, PERTIMM, France
  • Das, Abhishek, Google Inc., USA
  • Desclés, Jean-Pierre, Université Paris-Sorbonne, France
  • Dulong, Tanneguy, ARISEM (THALES), France
  • Emam, Ossama, Cairo HLT Group IBM, USA
  • Ferret, Olivier, LI2CM/CEA (Laboratoire d’Ingénierie de la Connaissance Multimédia Multilingue/Commissariat à l'Énergie Atomique), France
  • Fluhr, Christian, Cedege/Hossur'Tech, France
  • Fouladi, Karan, LIP6/ UMPC-CNRS (Laboratoire d’Informatique de Paris 6/ Université Pierre et Marie Curie and CNRS), France
  • Gallinari, Patrick, LIP6 (UMPC/CNRS), France
  • Ganascia, Jean-Gabriel, LIP6 (UMPC/CNRS), France
  • Gargouri, Faiez, ISIM (Institut Supérieur d'Informatique et de Multimédia de Sfax), Tunisia
  • Ghitalla, Frank, INIST (Institut de l'Information Scientifique et Technique), France
  • Grau, Brigitte, LIMSI/CNRS (Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur), France
  • Grefenstelle, Gregory, EXALEAD, France
  • Habib, Bassel, LIP6 (UMPC-CNRS), France
  • Jaziri, Wassim, ISIM, Sfax, Tunisia
  • Huot, Charles, TEMIS Group, France
  • Jain, Ankit, Google Inc., USA
  • Jouis, Christophe, Université Paris Sorbonne Nouvelle and LIP6 (UMPC-CNRS), France
  • Lassale, Edmond, Orange Labs (France Telecom), France
  • Le Borgne, Hervé, , LI2CM (CEA), France
  • Lucas, Philippe, TECHNOLOGIES group (Spirit software), France
  • Meng, Fan, University of Michigan, USA
  • Meunier, Jean-Guy, UQAM (Université du Québec à Montréal), Québec, Canada
  • Moulinier, Isabelle, Thomson Reuters, USA
  • Mustafa El-Hadi, IDIST, Universite Lille3, France
  • Nie, Jian-Yun, Université de Montréal, Montreal, Quebec, Canada
  • Piwowarski, Benjamin, Information Retrieval Group, University of Glasgow, UK
  • Poupon, Anne, Equipe Biologie et Bioinformatique des Systèmes de Signalisation Physiologie du Comportement et de la Reproduction, France
  • Riad, Mokadem, IRIT (Institut de Recherche en Informatique de Toulouse), France
  • Robertson, Stephen, Microsoft Research Laboratory in Cambridge, UK
  • Rocca-Serra, Philippe, The European Bioinformatics Institute, EMBL Outstation - Hinxton, Cambridge, UK
  • Roux, Magali, LIP6 (UMPC-CNRS) and INIST, France
  • Shafei, Bilal, ITS – BBE department, Columbia University, USA and An-Najah National University, Palestine
  • Sansone, Susanna-Assunta, The European Bioinformatics Institute, EMBL Outstation - Hinxton , Cambridge, UK
  • Savoy, Jacques, Université de Neuchâtel, Switzerland
  • Smyth, Barry, Professor, University College Dublin, Ireland
  • Stroppa, Nicolas, Yahoo! Labs, France
  • Timimi, Ismaïl, IDIST, Universite Lille 3, France
  • Velcin, Julien, ERIC Lab, University Lyon 2, France
  • Vinot, Romain, Yahoo! Labs in Paris, France
  • Wassermann, Renata, Computer Science Department, University of São Paulo, Brasil
  • Zitouni, Imed, IBM T.J. Watson Research Center, USA