© 2012

Semantic Search over the Web

  • Roberto De Virgilio
  • Francesco Guerra
  • Yannis Velegrakis

Part of the Data-Centric Systems and Applications book series (DCSA)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Introduction to Web of Data

    1. Front Matter
      Pages 1-1
    2. Christian Bizer, Pablo N. Mendes, Anja Jentzsch
      Pages 3-29
    3. Yongming Luo, François Picalausa, George H. L. Fletcher, Jan Hidders, Stijn Vansummeren
      Pages 31-60
    4. Marco Brambilla, Stefano Ceri
      Pages 61-77
  3. Search over the Web

    1. Front Matter
      Pages 79-79
    2. Roberto De Virgilio, Antonio Maccioni, Riccardo Torlone, Paolo Cappellari
      Pages 81-107
    3. Gideon Zenz, Enrico Minack, Wolf Siberski, Wolfgang Nejdl, Xuan Zhou
      Pages 109-130
    4. Sonia Bergamaschi, Elton Domnori, Silvia Rota, Francesco Guerra, Raquel Trillo Lado, Yannis Velegrakis
      Pages 131-158
    5. Klara Weiand, Andreas Hartl, Steffen Hausmann, François Bry, Tim Furche
      Pages 159-192
    6. Oktie Hassanzadeh, Renée J. Miller, Anastasios Kementsietsidis, Lipyeow Lim, Min Wang
      Pages 193-223
    7. Ekaterini Ioannou, Wolfgang Nejdl, Claudia Niederée, Yannis Velegrakis
      Pages 225-253
    8. Andrea Calì, Georg Gottlob, Andreas Pieris
      Pages 255-281
    9. Devis Bianchini, Valeria De Antonellis
      Pages 283-307
  4. Linked Data Search Engines

    1. Front Matter
      Pages 309-309
    2. Roberto Mirizzi, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone
      Pages 311-331
    3. Lorenzo Blanco, Mirco Bronzi, Valter Crescenzi, Paolo Merialdo, Paolo Papotti
      Pages 333-359
    4. Andreas Harth, Aidan Hogan, Jürgen Umbrich, Sheila Kinsella, Stefan Decker, Axel Polleres
      Pages 361-414
  5. Back Matter
    Pages 415-417

About this book


The Web has become the world’s largest database, with search being the main tool that allows  organizations and individuals to exploit its huge amount of information. Search on the Web has been traditionally based on textual and structural similarities, ignoring to a large degree the semantic dimension, i.e., understanding the meaning of the query and of the document content. Combining search and semantics gives birth to the idea of semantic search. Traditional search engines have already advertised some semantic dimensions. Some of them, for instance, can enhance their generated result sets with documents that are semantically related to the query terms even though they may not include these terms. Nevertheless, the exploitation of the semantic search has not yet reached its full potential.

In this book, Roberto De Virgilio, Francesco Guerra and Yannis Velegrakis present an extensive overview of the work done in Semantic Search and other related areas. They explore different technologies and solutions in depth, making their collection a valuable and stimulating reading for both academic and industrial researchers.

The book is divided into three parts. The first introduces the readers to the basic notions of the Web of Data. It describes the different kinds of data that exist, their topology, and their storing and indexing techniques. The second part is dedicated to Web Search. It presents different types of search, like the exploratory or the path-oriented, alongside methods for their efficient and effective implementation. Other related topics included in this part are the use of uncertainty in query answering, the exploitation of ontologies, and the use of semantics in mashup design and operation. The focus of the third part is on linked data, and more specifically, on applying ideas originating in recommender systems on linked data management, and on techniques for the efficiently querying answering on linked data.


Linked Data Mashup Massive Data Sets RDF Semantic Search Web of Data

Editors and affiliations

  • Roberto De Virgilio
    • 1
  • Francesco Guerra
    • 2
  • Yannis Velegrakis
    • 3
  1. 1., Dipartimento di InformaticaUniversità degli Studi Roma TreRomaItaly
  2. 2.e Reggio Emilia, Dipartimento di Economia AziendaleUniversità degli Studi di ModenaModenaItaly
  3. 3.Università degli Studi di TrentoTrentoItaly

About the editors

Roberto De Virgilio is currently working at the Università Roma Tre as a research/postdoctoral fellow. His research interests are data integration, Web-based information systems, XML data management, Semantic Web, data modelling and database design, and model management.  He is the author of several papers on Web information systems management and Semantic Web technologies and organizer of several international events to promote research on Semantic Web Data Management field.

Francesco Guerra is a faculty member at the University of Modena and Reggio Emilia where he received his Ph.D. in Information Engineering in 2004. His main research interests include the integration of heterogeneous information sources, Semantic Web and keyword-based searches. He has participated in several Italian and European projects and he was a reviewer for international conferences and journals.

Yannis Velegrakis is a faculty member at the University of Trento, with expertise in Schema Mapping, Interoperability, Heterogeneous Information Integration, Semantic Web, View Management, Social Networking and Keyword searching. Prior to joining the University of Trento, he held a researcher position at ATT Research Labs (USA) and had also spent time as a visitor at the IBM Almaden Research Center, the Center of Advanced Studies of the IBM Toronto Lab, and the University of California, Santa-Cruz. He is a member of the editorial board of the Journal on Data Semantics, and a reviewer for many international conferences and journals.

Bibliographic information

  • Book Title Semantic Search over the Web
  • Editors Roberto De Virgilio
    Francesco Guerra
    Yannis Velegrakis
  • Series Title Data-Centric Systems and Applications
  • Series Abbreviated Title Data-Centric Systems,Applications
  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Hardcover ISBN 978-3-642-25007-1
  • Softcover ISBN 978-3-642-42703-9
  • eBook ISBN 978-3-642-25008-8
  • Series ISSN 2197-9723
  • Series E-ISSN 2197-974X
  • Edition Number 1
  • Number of Pages XII, 420
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Information Storage and Retrieval
    Artificial Intelligence
  • Buy this book on publisher's site
Industry Sectors
IT & Software
Consumer Packaged Goods
Finance, Business & Banking


"This book is the only one I have encountered that is deeply centered on data--or, more precisely, on effective and scalable methods and techniques for accessing information from the web, the world’s largest and most volatile database. [...] It goes deeply into several different aspects of the topic. [...] The editors of this book have done a good job of covering interesting topics and making the book readable as a whole. The chapters present deep insight into the research results of top teams, as evidenced by several well-known names among the contributors." M. Bielikova, ACM Computing Reviews, August 2013