Semantic Web Information Management

A Model-Based Perspective

By Roberto de Virgilio , Fausto Giunchiglia , Letizia Tanca

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This book covers techniques for semantic information management by exploiting synergies between the logical basis of the Semantic Web and the logical foundations of data management. It offers models and methods tailored to easier machine processing on the Web.

Full Description

  • ISBN13: 978-3-6420-4328-4
  • 572 Pages
  • User Level: Science
  • Publication Date: January 8, 2010
  • Available eBook Formats: PDF
  • eBook Price: $129.00
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Full Description
Databases have been designed to store large volumes of data and to provide efficient query interfaces. Semantic Web formats are geared towards capturing domain knowledge, interlinking annotations, and offering a high-level, machine-processable view of information. However, the gigantic amount of such useful information makes efficient management of it increasingly difficult, undermining the possibility of transforming it into useful knowledge. The research presented by De Virgilio, Giunchiglia and Tanca tries to bridge the two worlds in order to leverage the efficiency and scalability of database-oriented technologies to support an ontological high-level view of data and metadata. The contributions present and analyze techniques for semantic information management, by taking advantage of the synergies between the logical basis of the Semantic Web and the logical foundations of data management. The book’s leitmotif is to propose models and methods especially tailored to represent and manage data that is appropriately structured for easier machine processing on the Web. After two introductory chapters on data management and the Semantic Web in general, the remaining contributions are grouped into five parts on Semantic Web Data Storage, Reasoning in the Semantic Web, Semantic Web Data Querying, Semantic Web Applications, and Engineering Semantic Web Systems. The handbook-like presentation makes this volume an important reference on current work and a source of inspiration for future development, targeting academic and industrial researchers as well as graduate students in Semantic Web technologies or database design.
Table of Contents

Table of Contents

  1. Introduction
  2. Data and Metadata Management
  3. Semantic Web Languages.
  4. Part I: Semantic Web Data Storage.
  5. Relational Technologies, Metadata and RDF
  6. A Metamodel Approach to Semantic Web Data Management
  7. Managing Terabytes of Web Semantics Data.
  8. Part II: Reasoning in the Semantic Web.
  9. Reasoning in Semantic Web
  10. Based Systems
  11. Modular Knowledge Representation and Reasoning in the Semantic Web
  12. Semantic Matching with S
  13. Match
  14. Preserving Semantics in Automatically Created Ontology Alignments
  15. tOWL: Integrating Time in OWL.
  16. Part III: Semantic Web Data Querying.
  17. Datalog Extensions for Tractable Query Answering over Ontologies
  18. On the Semantics of SPARQL
  19. Labeling RDF Graphs for Linear Time and Space Querying
  20. SPARQLog: SPARQL with Rules and Quantification
  21. SP2Bench: A SPARQL Performance Benchmark.
  22. Part IV: Semantic Web Applications.
  23. Using OWL in Data Integration
  24. Service Knowledge Spaces for Semantic Collaboration in Web
  25. Based Systems
  26. Informative top
  27. k Retrieval for Advanced Skill Management.
  28. Part V: Engineering Semantic Web Systems.
  29. MIDST: Interoperability for Semantic Annotations
  30. Virtuoso: RDF Support in a Native RDBMS
  31. Hera: Engineering Web Applications Using Semantic Web
  32. Based Models.
  33. Index.
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