Skip to main content

DAML+OIL: A Reason-able Web Ontology Language

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2287))

Abstract

Ontologies are set to play a key role in the “Semantic Web”, extending syntactic interoperability to semantic interoperability by providing a source of shared and precisely defined terms. DAML+OIL is an ontology language specifically designed for use on the Web; it exploits existing Web standards (XML and RDF), adding the familiar ontological primitives of object oriented and frame based systems, and the formal rigor of a very expressive description logic. The logical basis of the language means that reasoning services can be provided, both to support ontology design and to make DAML+OIL described Web resources more accessible to automated processes.

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   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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. F. Baader and P. Hanschke. A schema for integrating concrete domains into concept languages. In Proc. of the 12th Int. Joint Conf. on Artificial Intelligence (IJCAI’91), pages 452–457, 1991.

    Google Scholar 

  2. F. Baader and R. Küsters. Computing the least common subsumer and the most specific concept in the presence of cyclic ALN-concept descriptions. In Proc. of the 22nd German Annual Conf. on Artificial Intelligence (KI’98), volume 1504 of Lecture Notes in Computer Science, pages 129–140. Springer-Verlag, 1998.

    Google Scholar 

  3. F. Baader, R. Küsters, A. Borgida, and D. L. McGuinness. Matching in description logics. J. of Logic and Computation, 9(3):411–447, 1999.

    Article  MATH  Google Scholar 

  4. S. Bechhofer, I. Horrocks, C. Goble, and R. Stevens. OilEd: a reason-able ontology editor for the semantic web. In Proc. of the Joint German/Austrian Conf. on Artificial Intelligence (KI 2001), number 2174 in Lecture Notes in Artificial Intelligence, pages 396–408. Springer-Verlag, 2001.

    Google Scholar 

  5. T. Berners-Lee. Weaving the Web. Harpur, San Francisco, 1999.

    Google Scholar 

  6. A. Borgida and P. F. Patel-Schneider. A semantics and complete algorithm for subsumption in the CLASSIC description logic. J. of Artificial Intelligence Research, 1:277–308, 1994.

    MATH  Google Scholar 

  7. D. Calvanese, G. De Giacomo, and M. Lenzerini. Answering queries using views in description logics. In Proc. of the 1999 Description Logic Workshop (DL’99), pages 9–13. CEUR Electronic Workshop Proceedings, http://ceur-ws.org/Vol-22/, 1999.

  8. D. Calvanese, G. De Giacomo, M. Lenzerini, D. Nardi, and R. Rosati. Information integration: Conceptual modeling and reasoning support. In Proc. of the 6th Int. Conf. on Cooperative Information Systems (CoopIS’98), pages 280–291, 1998.

    Google Scholar 

  9. S. Decker, F. van Harmelen, J. Broekstra, M. Erdmann, D. Fensel, I. Horrocks, M. Klein, and S. Melnik. The semantic web: The roles of XML and RDF. IEEE Internet Computing, 4(5), 2000.

    Google Scholar 

  10. F. M. Donini, M. Lenzerini, D. Nardi, and W. Nutt. The complexity of concept languages. Information and Computation, 134:1–58, 1997.

    Article  MATH  MathSciNet  Google Scholar 

  11. D. Fensel, I. Horrocks, F. van Harmelen, S. Decker, M. Erdmann, and M. Klein. OIL in a nutshell. In R. Dieng, editor, Proc. of the 12th European Workshop on Knowledge Acquisition, Modeling, and Management (EKAW’00), number 1937 in Lecture Notes in Artificial Intelligence, pages 1–16. Springer-Verlag, 2000.

    Google Scholar 

  12. D. Fensel, F. van Harmelen, I. Horrocks, D. L. McGuinness, and P. F. Patel-Schneider. OIL: An ontology infrastructure for the semantic web. IEEE Intelligent Systems, 16(2):38–45, 2001.

    Article  Google Scholar 

  13. R. Fikes and D. L. McGuinness. An axiomatic semantics for rdf, rdf schema, and daml+oil. In Stanford University KSLT echnical Report KSL-01-01. http://www.ksl.stanford.edu/people/dlm/daml-semantics/abstract-axiomaticsemantics.html, 2001.

  14. E. Grädel, M. Otto, and E. Rosen. Two-variable logic with counting is decidable. In Proc. of the 12th IEEE Symp. on Logic in Computer Science (LICS’97), pages 306–317. IEEE Computer Society Press, 1997.

    Google Scholar 

  15. V. Haarslev and R. Möller. High performance reasoning with very large knowledge bases: A practical case study. In Proc. of the 17th Int. Joint Conf. on Artificial Intelligence (IJCAI 2001), 2001.

    Google Scholar 

  16. V. Haarslev and R. Möller. RACER system description. In Proc. of the Int. Joint Conf. on Automated Reasoning (IJCAR 2001), 2001.

    Google Scholar 

  17. J. Hendler and D. L. McGuinness. “The darpa agent markup language”. IEEE Intelligent Systems, 15(6):67–73, 2000.

    Article  Google Scholar 

  18. B. Hollunder and F. Baader. Qualifying number restrictions in concept languages. In Proc. of the 2nd Int. Conf. on the Principles of Knowledge Representation and Reasoning (KR’91), pages 335–346, 1991.

    Google Scholar 

  19. I. Horrocks. The FaCT system. In H. de Swart, editor, Proc. of the 2nd Int. Conf. on Analytic Tableaux and Related Methods (TABLEAUX’98), volume 1397 of Lecture Notes in Artificial Intelligence, pages 307–312. Springer-Verlag, 1998.

    Google Scholar 

  20. I. Horrocks. Using an expressive description logic: FaCT or fiction? In Proc. of the 6th Int. Conf. on Principles of Knowledge Representation and Reasoning (KR’98), pages 636–647, 1998.

    Google Scholar 

  21. I. Horrocks and U. Sattler. Ontology reasoning in the SHOQ(D) description logic. In Proc. of the 17th Int. Joint Conf. on Artificial Intelligence (IJCAI 2001). Morgan Kaufmann, Los Altos, 2001.

    Google Scholar 

  22. I. Horrocks, U. Sattler, and S. Tobies. Practical reasoning for expressive description logics. In H. Ganzinger, D. McAllester, and A. Voronkov, editors, Proc. of the 6th Int. Conf. on Logic for Programming and Automated Reasoning (LPAR’99), number 1705 in Lecture Notes in Artificial Intelligence, pages 161–180. Springer-Verlag, 1999.

    Google Scholar 

  23. I. Horrocks, U. Sattler, and S. Tobies. Reasoning with individuals for the description logic SHIQ. In Proc. of the 17th Int. Conf. on Automated Deduction (CADE 2000), number 1831 in Lecture Notes in Artificial Intelligence, pages 482–496. Springer-Verlag, 2000.

    Google Scholar 

  24. I. Horrocks and S. Tessaris. A conjunctive query language for description logic aboxes. In Proc. of the 17th Nat. Conf. on Artificial Intelligence (AAAI 2000), pages 399–404, 2000.

    Google Scholar 

  25. D. L. McGuinness. Ontological issues for knowledge-enhanced search. In Proc. of FOIS, Frontiers in Artificial Intelligence and Applications. IOS-press, 1998.

    Google Scholar 

  26. D. L. McGuinness. Ontologies for electronic commerce. In Proc. of the AAAI’99 Artificial Intelligence for Electronic Commerce Workshop, 1999.

    Google Scholar 

  27. D. L. McGuinness, R. Fikes, J. Rice, and S. Wilder. The Chimaera ontology environment. In Proc. of the 17th Nat. Conf. on Artificial Intelligence (AAAI 2000), 2000.

    Google Scholar 

  28. S. McIlraith, T. Son, and H. Zeng. Semantic web services. IEEE Intelligent Systems, 16(2):46–53, March/April 2001.

    Article  Google Scholar 

  29. P. F. Patel-Schneider. DLP system description. In Proc. of the 1998 Description Logic Workshop (DL’98), pages 87–89. CEUR Electronic Workshop Proceedings, http://ceur-ws.org/Vol-11/, 1998.

  30. M.-C. Rousset. Backward reasoning in ABoxes for query answering. In Proc. of the 1999 Description Logic Workshop (DL’99), pages 18–22. CEUR Electronic Workshop Proceedings, http://ceur-ws.org/Vol-22/, 1999.

  31. The Gene Ontology Consortium. Gene ontolgy: tool for the unification of biology. Nature Genetics, 25(1):25–29, 2000.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Horrocks, I. (2002). DAML+OIL: A Reason-able Web Ontology Language. In: Jensen, C.S., et al. Advances in Database Technology — EDBT 2002. EDBT 2002. Lecture Notes in Computer Science, vol 2287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45876-X_2

Download citation

  • DOI: https://doi.org/10.1007/3-540-45876-X_2

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43324-8

  • Online ISBN: 978-3-540-45876-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics