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Optimized Query Rewriting for OWL 2 QL

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Automated Deduction – CADE-23 (CADE 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6803))

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Abstract

The OWL 2 QL profile has been designed to facilitate query answering via query rewriting. This paper presents an optimized query rewriting algorithm which takes advantage of the special characteristics of the query rewriting problem via first-order resolution in OWL 2 QL and computes efficiently the rewriting set of a user query, by avoiding blind and unnecessary inferences, as well as by reducing the need for extended subsumption checks. The evaluation shows that in several cases the algorithm achieves a significant improvement and better practical scalability if compared to other similar approaches.

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References

  1. Artale, A., Calvanese, D., Kontchakov, R., Zakharyaschev, M.: The DL-Lite family and relations. J. of Artificial Intelligence Research 36, 1–69 (2009)

    MATH  MathSciNet  Google Scholar 

  2. Bachmair, L., Ganzinger, H.: Resolution theorem proving. In: Handbook of Automated Reasoning (in 2 volumes), vol. 1, pp. 19–99. Elsevier, MIT Press (2001)

    Google Scholar 

  3. Calvanese, D., De Giacomo, G., Lembo, D., Lenzerini, M., Rosati, R.: Tractable reasoning and efficient query answering in description logics: The DL-Lite family. J. of Automated Reasoning 39, 385–429 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  4. Glimm, B., Horrocks, I., Lutz, C., Sattler, U.: Conjunctive query answering for the description logic SHIQ. J. of Artificial Intelligence Research 31, 157–204 (2008)

    MATH  MathSciNet  Google Scholar 

  5. Kontchakov, R., Lutz, C., Toman, D., Wolter, F., Zakharyaschev, M.: The combined approach to query answering in DL-Lite. In: Procs. of KR 2010, pp. 247–357 (2010)

    Google Scholar 

  6. Pérez-Urbina, H., Horrocks, I., Motik, B.: Efficient query answering for OWL 2. In: Bernstein, A., Karger, D.R., Heath, T., Feigenbaum, L., Maynard, D., Motta, E., Thirunarayan, K. (eds.) ISWC 2009. LNCS, vol. 5823, pp. 489–504. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  7. Poggi, A., Lembo, D., Calvanese, D., De Giacomo, G., Lenzerini, M., Rosati, R.: Linking data to ontologies. J. on Data Semantics 10, 133–173 (2008)

    MATH  Google Scholar 

  8. Rosati, R., Almatelli, A.: Improving query answering over DL-Lite ontologies. In: Procs. of KR 2010, pp. 290–300 (2010)

    Google Scholar 

  9. Stocker, M., Smith, M.: Owlgres: A scalable OWL reasoner. In: Procs. of OWLED 2008. CEUR-WS.org, vol. 432 (2008)

    Google Scholar 

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Chortaras, A., Trivela, D., Stamou, G. (2011). Optimized Query Rewriting for OWL 2 QL. In: Bjørner, N., Sofronie-Stokkermans, V. (eds) Automated Deduction – CADE-23. CADE 2011. Lecture Notes in Computer Science(), vol 6803. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22438-6_16

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  • DOI: https://doi.org/10.1007/978-3-642-22438-6_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22437-9

  • Online ISBN: 978-3-642-22438-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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