Skip to main content

Description Logics, Rules and Multi-context Systems

  • Conference paper
Logic for Programming, Artificial Intelligence, and Reasoning (LPAR 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8312))

Abstract

The combination of rules and ontologies has been a fertile topic of research in the last years, with the proposal of several different systems that achieve this goal. In this paper, we look at two of these formalisms, Mdl-programs and multi-context systems, which address different aspects of this combination, and include different, incomparable programming constructs. Despite this, we show that every Mdl-program can be transformed in a multi-context system, and this transformation relates the different semantics for each paradigm in a natural way. As an application, we show how a set of design patterns for multi-context systems can be obtained from previous work on Mdl-programs.

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 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Baader, F., Calvanese, D., McGuinness, D.L., Nardi, D., Patel-Schneider, P.F. (eds.): The Description Logic Handbook: Theory, Implementation, and Applications, 2nd edn. Cambridge University Press (2007)

    Google Scholar 

  2. Brewka, G., Eiter, T.: Equilibria in heterogeneous nonmonotonic multi-context systems. In: AAAI 2007, pp. 385–390. AAAI Press (2007)

    Google Scholar 

  3. Brewka, G., Eiter, T., Fink, M.: Nonmonotonic multi-context systems: A flexible approach for integrating heterogeneous knowledge sources. In: Balduccini, M., Son, T.C. (eds.) Gelfond Festschrift. LNCS, vol. 6565, pp. 233–258. Springer, Heidelberg (2011)

    Google Scholar 

  4. Brewka, G., Eiter, T., Fink, M., Weinzierl, A.: Managed multi-context systems. In: Walsh, T. (ed.) IJCAI, pp. 786–791. IJCAI/AAAI (2011)

    Google Scholar 

  5. Cruz-Filipe, L., Engrácia, P., Gaspar, G., Nunes, I.: Achieving tightness in dl-programs. Technical Report 2012;03, Faculty of Sciences of the University of Lisbon (July 2012), http://hdl.handle.net/10455/6872

  6. Cruz-Filipe, L., Henriques, R., Nunes, I.: Viewing dl-programs as multi-context systems. Technical Report 2013;05, Faculty of Sciences of the University of Lisbon (April 2013), http://hdl.handle.net/10455/6895

  7. Cruz-Filipe, L., Nunes, I., Gaspar, G.: Patterns for interfacing between logic programs and multiple ontologies. To appear in Proceedings of KEOD 2013 (2013), http://tinyurl.com/itsweb2013-09

  8. Donini, F.M., Lenzerini, M., Nardi, D., Schaerf, A.: AL-log: Integrating Datalog and description logics. Int. Inf. Systems (1998)

    Google Scholar 

  9. Eiter, T., Ianni, G., Lukasiewicz, T., Schindlauer, R.: Well-founded semantics for description logic programs in the semantic Web. ACM Transactions on Computational Logic 12(2), Article Nr 11 (2011)

    Google Scholar 

  10. Eiter, T., Ianni, G., Lukasiewicz, T., Schindlauer, R., Tompits, H.: Combining answer set programming with description logics for the semantic web. Artificial Intelligence 172(12-13), 1495–1539 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  11. Eiter, T., Ianni, G., Schindlauer, R., Tompits, H.: A uniform integration of higher-order reasoning and external evaluations in answer-set programming. In: Kaelbling, L.P., Saffiotti, A. (eds.) IJCAI 2005, pp. 90–96. Professional Book Center (2005)

    Google Scholar 

  12. Heymans, S., Eiter, T., Xiao, G.: Tractable reasoning with DL-programs over Datalog-rewritable description logics. In: Coelho, H., Studer, R., Wooldridge, M. (eds.) ECAI 2010. Frontiers in Artificial Intelligence and Applications, vol. 215, pp. 35–40. IOS Press (2010)

    Google Scholar 

  13. Knublauch, H.: Travel ontology 1.0, http://protege.cim3.net/file/pub/ontologies/travel/travel.owl

  14. Motik, B., Rosati, R.: Reconciling description logics and rules. Journal of the ACM 57, Article Nr 30 (June 2010)

    Google Scholar 

  15. The OWL Working Group. Wine ontology, http://www.w3.org/TR/2004/REC-owl-guide-20040210/wine.rdf

  16. Rosati, R.: DL+log: Tight integration of description logics and disjunctive Datalog. In: Doherty, P., Mylopoulos, J., Welty, C.A. (eds.) KR 2006, pp. 67–78. AAAI Press (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cruz-Filipe, L., Henriques, R., Nunes, I. (2013). Description Logics, Rules and Multi-context Systems. In: McMillan, K., Middeldorp, A., Voronkov, A. (eds) Logic for Programming, Artificial Intelligence, and Reasoning. LPAR 2013. Lecture Notes in Computer Science, vol 8312. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45221-5_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-45221-5_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-45220-8

  • Online ISBN: 978-3-642-45221-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics