Islands and Query Answering for Alchi-ontologies

  • Sebastian Wandelt
  • Ralf Möller
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 128)

Abstract

The vision of the Semantic Web fostered the interest in reasoning over ever larger sets of assertional statements in ontologies. Today, real-world ontologies do not fit into main memory anymore and therefore tableaux-based reasoning systems cannot handle these large ontologies any longer.

We propose strategies to overcome this problem by performing query answering for an ontology over (usually small) relevant subsets of assertional axioms, called islands. These islands are computed based on a partitioning-criteria. We propose a way to preserve the partitions while updating an ontology and thus enable stream like reasoning for description logic ontologies. Furthermore, we explain how islands can be used to answer grounded conjunctive queries for description logic ontologies. We think that our proposal can support description logic systems to deal with the upcoming large amounts of fluctuant assertional data.

Keywords

Description logics Reasoning Scalability Partitioning 

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References

  1. 1.
    Baader, F., Calvanese, D., McGuinness, D.L., Nardi, D., Patel-Schneider, P.F.: The Description Logic Handbook. Cambridge University Press, New York (2007)CrossRefMATHGoogle Scholar
  2. 2.
    Fokoue, A., Kershenbaum, A., Ma, L., Patel, C., Schonberg, E., Srinivas, K.: Using Abstract Evaluation in ABox Reasoning. In: SSWS 2006, Athens, GA, USA, pp. 61–74 (November 2006)Google Scholar
  3. 3.
    Guo, Y., Heflin, J.: A Scalable Approach for Partitioning OWL Knowledge Bases. In: SSWS 2006, Athens, GA, USA (November 2006)Google Scholar
  4. 4.
    Guo, Y., Pan, Z., Heflin, J.: Lubm: A benchmark for owl knowledge base systems. J. Web Sem. 3(2-3), 158–182 (2005)CrossRefGoogle Scholar
  5. 5.
    Haarslev, V., Möller, R.: Description of the racer system and its applications. In: Proceedings International Workshop on Description Logics (DL 2001), Stanford, USA, August 1-3, pp. 131–141 (2001)Google Scholar
  6. 6.
    Halashek-Wiener, C., Parsia, B., Sirin, E.: Description logic reasoning with syntactic updates. In: Meersman, R., Tari, Z. (eds.) OTM 2006. LNCS, vol. 4275, pp. 722–737. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  7. 7.
    Motik, B., Oberle, D., Staab, S., Studer, R., Volz, R.: Kaon server architecture. WonderWeb Deliverable D5 (2002), http://wonderweb.semanticweb.org
  8. 8.
    Motik, B., Shearer, R., Horrocks, I.: Optimized Reasoning in Description Logics Using Hypertableaux. In: Pfenning, F. (ed.) CADE 2007. LNCS (LNAI), vol. 4603, pp. 67–83. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  9. 9.
    Nguyen, A.N.: Distributed storage system for description logic knowledge bases. Technical Report (2009), http://www.sts.tu-harburg.de/wandelt/research/NgocThesis.pdf
  10. 10.
    Stuckenschmidt, H., Klein, M.: Structure-based partitioning of large concept hierarchies. In: McIlraith, S.A., Plexousakis, D., van Harmelen, F. (eds.) ISWC 2004. LNCS, vol. 3298, pp. 289–303. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  11. 11.
    Wandelt, S., Moeller, R.: Island reasoning for alchi ontologies. In: Eschenbach, C., Grninger, M. (eds.) FOIS. Frontiers in Artificial Intelligence and Applications, vol. 183, pp. 164–177. IOS Press, Amsterdam (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Sebastian Wandelt
    • 1
  • Ralf Möller
    • 1
  1. 1.Institute for Software SystemsHamburg University of TechnologyHamburgGermany

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