Skip to main content
SpringerLink
Log in

Discovering and Resolving User Intent in Heterogeneous Databases

  • Conference paper
  • First Online:
Foundations of Intelligent Systems (ISMIS 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1932))

Included in the following conference series:

  • 681 Accesses

Abstract

We propose a system whereby subtle semantic ambiguity found in queries of distributed heterogeneous database systems can be resolved by considering the user’s intentions. Through the use of domain- specific knowledge embedded within a mediator-based architecture, subtleties in meaning can be explicitly modeled. Through the use of dynamic profiles and active dialogue, the system can discover user intent, providing more satisfying query answers.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Arens, Hsu, and Knoblock. Query processing in the SIMS information mediiator. In Austin Tate, editor, Advanced Planning Technology, Menlo Park, CA, 1996. AAAI Press.

    Google Scholar 

  2. Garcia-Molina, Papakonstantinou, Quass, Rajaraman, Sagiv, Ullman, and Widom. The TSIMMIS approach to mediation: Data models and languages (extended ab-stract). JIIS, 1997.

    Google Scholar 

  3. Henschen, Neild, and Fernandes. An object-oriented graph traversal algorithm for data mediation. In Proceedings of the 2nd Americas Conference on Information Systems (AIS96), Phoenix, AZ, August 1996.

    Google Scholar 

  4. Levy, Rajaraman, and Ordille. Query-answering algorithms for information agents. In Proceedings of the Thirteenth National Conference on Arti_cial Intelligence (AAAI-96), Portland, OR, December 1996.

    Google Scholar 

  5. Mena, Kashyap, Sheth, and Illarramendi. OBSERVER: An approach for query processing in global information systems based on interoperation across pre-existing ontologies. In COOPIS, Brussels, Belgium, June 1996.

    Google Scholar 

  6. Tania Neild. The Virtual Data Integrator: An Object-Oriented Mediator for Hete-rogeeous Database Integration. PhD thesis, Northwestern University, June 1999.

    Google Scholar 

  7. Subrahmanian, Adah, Brink, Emery, Lu, Rajput, Rogers, Ross, and Ward. HER-MES: A heterogeneous reasoning and mediator system. submitted for publication.

    Google Scholar 

  8. Tomasic, Raschid, and Valduriez. Scaling heterogeneous databases and the design of DISCO. In Proceedings of the International Conference on Distributed Computer Systems, 1996.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, Colby College, ME 04901, Waterville

    Chris Fernandes

  2. Department of Electrical and Computer Engineering, Northwestern University, IL 60201, Evanston

    Lawrence Henschen

Authors
  1. Chris Fernandes
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Lawrence Henschen
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Institute of Computer Science, Polish Academy of Sciences, 01-237, Warsaw, Poland

    Zbigniew W. Raś

  2. Department of Computer Science, University of North Carolina, NC 28223, Charlotte, USA

    Zbigniew W. Raś

  3. Department of Science and Technology, Waseda University, 61-414, 3-4-1, Ohkubo, Shinjuku-ku, 169-8555, Tokyo, Japan

    Setsuo Ohsuga

Rights and permissions

Reprints and permissions

Copyright information

© 2000 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Fernandes, C., Henschen, L. (2000). Discovering and Resolving User Intent in Heterogeneous Databases. In: Raś, Z.W., Ohsuga, S. (eds) Foundations of Intelligent Systems. ISMIS 2000. Lecture Notes in Computer Science(), vol 1932. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39963-1_41

Download citation

  • DOI: https://doi.org/10.1007/3-540-39963-1_41

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41094-2

  • Online ISBN: 978-3-540-39963-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation