Skip to main content

Ontology-Based Querying

  • Conference paper
Flexible Query Answering Systems

Part of the book series: Advances in Soft Computing ((AINSC,volume 7))

Abstract

This paper introduces to the main objectives of the OntoQuery project, with the agenda of developing theories and methodologies for content-based retrieval from text databases. Content-based retrieval is obtained through descriptions of database objects and queries derived from natural language analysis and shaped with respect to a domain specific ontology, which in turn is expressed in a formal description language. Querying is performed by comparing descriptions and, during this, reasoning with the domain knowledge expressed in the ontology.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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. T. Andreasen, Flexible Database Querying based on Associations of Domain Values. In ISMIS’97, Eight International Symposium on Methodologies for INTELLIGENT SYSTEMS. Charlotte, North Carolina. Springer Verlag, Lecture Notes in Artificial Intelligence, 1997.

    Google Scholar 

  2. N. Bel, F. Busa, N. Calzolari, E. Gola, A. Lenci, M. Monachini, A. Ogonowski, I. Peters, W. Peters, N. Ruimy, M. Villegas (2000). ‘SIMPLE - A General Framework for the Development of Multilingual Lexicons, Second International Conference on Language Resources amd Evaluation, Athens, Greece.

    Google Scholar 

  3. T. Brauner, J. Fischer Nilsson and A. Rasmussen: Conceptual Graphs as Algebras — with an Application to Analogical Reasoning, in Proceedings of the 7th Int. Conf. on Conceptual Structures, Blacksburg, Virginia, July 1999, W. Tepfenhart and W. Cyre (eds.) Lecture Notes in Artificial Intelligence LNAI 1640, Springer, 1999.

    Google Scholar 

  4. C. Brink, K. Britz, and R.A. Schmidt: Peirce Algebras, Formal Aspects of Computing, Vol. 6, 1994, pp. 339–358.

    Article  MATH  Google Scholar 

  5. P. Anker Jensen et al. (eds.) Proceedings of the International OntoQuery Workshop Ontology-based interpretation of NP’s,January 17 and 18, 2000, forthcoming, see www.ontoquery.dk.

    Google Scholar 

  6. P. Anker Jensen, J. Fischer Nilsson and C. Vikner, Towards an Ontology-based Interpretation of NP’s, in [5].

    Google Scholar 

  7. H. Legind Larsen and J. Fischer Nilsson, Fuzzy querying in a concept object algebraic datamodel, in T. Andreasen et al. (eds.), Flexible Query Answering Systems, Kluwer, 1997.

    Google Scholar 

  8. H.L. Larsen, T. Andreasen and H. Christiansen: Knowledge Discovery for Flexible Querying. In T. Andreasen et al. (eds.), Proceedings of the International Conference on Flexible Query Answering Systems, 11–15 May 1998, Roskilde, Denmark. Lecture Notes in Artificial Intelligence, Springer Verlag, Berlin. 1998.

    Google Scholar 

  9. A. Lascarides and A. Copestake: “Default Representation in Constraint-Based Frameworks”. In: Computational Linguistics, vol. 25,1, 1999. pp. 55–106

    Google Scholar 

  10. B. Nistrup Madsen, H. Erdman Thomsen and C. Vikner: ‘The project “Computer-Aided Ontology Structuring” (CAOS)’. In: World Knowledge and Natural Language Analysis. Copenhagen Studies of Language, vol. 23, Copenhagen: Samfundslitteratur, 1999.

    Google Scholar 

  11. B. Nistrup Madsen, B. Sandford Pedersen and H. Erdman Thomsen, Defining Semantic Relations for OntoQuery, in [5].

    Google Scholar 

  12. J. Fischer Nilsson: A Logico-Algebraic Framework for Ontologies, in [5].

    Google Scholar 

  13. P. Paggio: “Parsing in OntoQuery - Experiments with LKB”, in [5].

    Google Scholar 

  14. W. C. Rounds, Feature Logics, in J. van Benthem and A. ter Meulen (eds.), Handbook of Logic and Language, North-Holland, 1997.

    Google Scholar 

  15. J. F. Sowa,: Knowledge Representation - Logical, Philosophical, and Computational Foundations. Brooks/Cole, London, 2000.

    Google Scholar 

  16. R.R. Yager.: On ordered weighted averaging aggregation operators in multi-criteria decision making. IEEE Transactions on Systems, Man and Cybernetics, 18 (1), pp. 183–190, 1988.

    Article  MathSciNet  MATH  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

Andreasen, T., Nilsson, J.F., Thomsen, H.E. (2001). Ontology-Based Querying. In: Larsen, H.L., Andreasen, T., Christiansen, H., Kacprzyk, J., Zadrożny, S. (eds) Flexible Query Answering Systems. Advances in Soft Computing, vol 7. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1834-5_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-7908-1834-5_2

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1347-0

  • Online ISBN: 978-3-7908-1834-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics