Skip to main content

Supporting User-Profiled Semantic Web-Oriented Search

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2182))

Abstract

This paper proposes a technique which allows to select Web sources on the basis of a semantic reconstruction of user’s preferences. A conceptual model, called SDR-Network, and a probabilistic Description Logic, called DLP, are exploited to this end.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. S. Bergamaschi, S. Castano, and M. Vincini. Semantic integration of semi structured and structured data sources. SIGMOD Record, 28(1):54–59, 1999.

    Article  Google Scholar 

  2. S. Castano, V. De Antonellis, and S. De Capitani di Vimercati. Global viewing of heterogeneous data sources. Transactions on Data and Knowledge Engineering, 13(2), 2001.

    Google Scholar 

  3. A. Doan, P. Domingos, and A. Halevy. Reconciling schemas of disparate data sources: A machine-learning approach. In Proc. of International Conference on Management of Data (SIGMOD 2001), Santa Barbara, California, USA, 2001. ACM Press.

    Google Scholar 

  4. J. Madhavan, P.A. Bernstein, and E. Rahm. Generic schema matching with cupid. In Proc. of International Conference on Very Large Data Bases (VLDB 2001), Roma, Italy, 2001. Forthcoming.

    Google Scholar 

  5. A.G. Miller. WordNet: A lexical database for english. Communications of the ACM, 38(11):39–41, 1995.

    Article  Google Scholar 

  6. L. Palopoli, D. Saccà, and D. Ursino. DLP: a description logic for extracting and managing complex terminological and structural properties from database schemes. Information Systems, 24(5):403–425, 1999.

    Article  Google Scholar 

  7. L. Palopoli, G. Terracina, and D. Ursino. Inferring complex intensional knowledge patterns from heterogeneous semi-structured information sources. Submitted for publication. Available from the authors.

    Google Scholar 

  8. L. Palopoli, G. Terracina, and D. Ursino. A graph-based approach for extracting terminological properties of elements of XML documents. In Proc. of International Conference on Data Engineering (ICDE 2001), pages 330–340,Heidelberg, Germany, 2001. IEEE Computer Society.

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Palopoli, L., Rosaci, D., Terracina, G., Ursino, D. (2001). Supporting User-Profiled Semantic Web-Oriented Search. In: Klusch, M., Zambonelli, F. (eds) Cooperative Information Agents V. CIA 2001. Lecture Notes in Computer Science(), vol 2182. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44799-7_4

Download citation

  • DOI: https://doi.org/10.1007/3-540-44799-7_4

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42545-8

  • Online ISBN: 978-3-540-44799-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics