© 2010

Intelligent Information Access

  • Giuliano Armano
  • Marco de Gemmis
  • Giovanni Semeraro
  • Eloisa Vargiu

Part of the Studies in Computational Intelligence book series (SCI, volume 301)

Table of contents

  1. Front Matter
  2. Berardina De Carolis, Irene Mazzotta, Nicole Novielli
    Pages 1-20
  3. Carlo Strapparava, Rada Mihalcea
    Pages 21-38
  4. Andreas Hotho
    Pages 57-82
  5. Giambattista Amati, Giuseppe Amodeo, Marco Bianchi, Carlo Gaibisso, Giorgio Gambosi
    Pages 83-108
  6. Maria Teresa Pazienza, Armando Stellato, Andrea Turbati
    Pages 109-135
  7. Back Matter

About this book


Intelligent Information Access techniques attempt to overcome the limitations of current search devices by providing personalized information items and product/ service recommendations. They normally utilize direct or indirect user input and facilitate the information search and decision processes, according to user needs, preferences and usage patterns. Recent developments at the intersection of Information Retrieval, Information Filtering, Machine Learning, User Modelling, Natural Language Processing and Human-Computer Interaction offer novel solutions that empower users to go beyond single-session lookup tasks and that aim at serving the more complex requirement: “Tell me what I don’t know that I need to know”. Information filtering systems, specifically recommender systems, have been revolutionizing the way information seekers find what they want, because they effectively prune large information spaces and help users in selecting items that best meet their needs and preferences. Recommender systems rely strongly on the use of various machine learning tools and algorithms for learning how to rank, or predict user evaluation, of items. Information Retrieval systems, on the other hand, also attempt to address similar filtering and ranking problems for pieces of information such as links, pages, and documents. But they generally focus on the development of global retrieval techniques, often neglecting individual user needs and preferences. The book aims to investigate current developments and new insights into methods, techniques and technologies for intelligent information access from a multidisciplinary perspective. It comprises six chapters authored by participants in the research event Intelligent Information Access, held in Cagliari (Italy) in December 2008.


Computational Intelligence Intelligent Information Access Technologie data mining development emotion information retrieval intelligence ontology proving semantic web uncertainty

Editors and affiliations

  • Giuliano Armano
    • 1
  • Marco de Gemmis
    • 2
  • Giovanni Semeraro
    • 3
  • Eloisa Vargiu
    • 1
  1. 1.Department of Electrical and Electronic EngineeringUniversity of Cagliari Piazza d’Armi CagliariItaly
  2. 2.Department of InformaticsUniversity of Bari “Aldo Moro” BariItaly
  3. 3.Department of Informatics University of Bari “AldoMoro” BariItaly

Bibliographic information

  • Book Title Intelligent Information Access
  • Editors Giuliano Armano
    Marco de Gemmis
    Giovanni Semeraro
  • Series Title Studies in Computational Intelligence
  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-642-13999-4
  • Softcover ISBN 978-3-642-26387-3
  • eBook ISBN 978-3-642-14000-6
  • Series ISSN 1860-949X
  • Series E-ISSN 1860-9503
  • Edition Number 1
  • Number of Pages XII, 138
  • Number of Illustrations 0 b/w illustrations, 1 illustrations in colour
  • Topics Computational Intelligence
    Artificial Intelligence
  • Buy this book on publisher's site
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