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Employing \(DL\text {-}Lite_{R}\)-Reasoners for Fuzzy Query Answering

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Semantic Technology (JIST 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8943))

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Abstract

Fuzzy Description Logics generalize crisp ones by providing membership degree semantics for concepts and roles by fuzzy sets. Recently, answering of conjunctive queries has been investigated and implemented in optimized reasoner systems based on the rewriting approach for crisp DLs. In this paper we investigate how to employ such existing implementations for crisp query answering in \(DL\text {-}Lite_{R}\) over fuzzy ontologies. To this end we give an extended rewriting algorithm for the case of fuzzy \(DL\text {-}Lite_{R}\)-ABoxes that employs the one for crisp \(DL\text {-}Lite_{R}\) and investigate the limitations of this approach. We also tested the performance of our proto-type implementation FLite of this method.

Partially supported by DFG SFB 912 (HAEC).

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References

  1. Acciarri, A., Calvanese, D., De Giacomo, G., Lembo, D., Lenzerini, M., Palmieri, M., Rosati, R.: Quonto: querying ontologies. In: AAAI, pp. 1670–1671 (2005)

    Google Scholar 

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

    MATH  MathSciNet  Google Scholar 

  3. Calvanese, D., De Giacomo, G., Lembo, D., Lenzerini, M., Poggi, A., Rodriguez-Muro, M., Rosati, R.: Ontologies and databases: the DL-Lite approach. In: Tessaris, S., Franconi, E., Eiter, T., Gutierrez, C., Handschuh, S., Rousset, M.-C., Schmidt, R.A. (eds.) Reasoning Web. LNCS, vol. 5689, pp. 255–356. Springer, Heidelberg (2009)

    Google Scholar 

  4. Calvanese, D., De Giacomo, G., Lembo, D., Lenzerini, M., Rosati, R.: Tractable reasoning and efficient query answering in description logics: The DL-lite family. Journal of Automated Reasoning 39 (2007)

    Google Scholar 

  5. Mailis, T., Peñaloza, R., Turhan, A.-Y.: Conjunctive query answering in finitely-valued fuzzy description logics. In: Kontchakov, R., Mugnier, M.-L. (eds.) RR 2014. LNCS, vol. 8741, pp. 124–139. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  6. Pan, J.Z., Stamou, G.B., Stoilos, G., Thomas, E.: Expressive querying over fuzzy DL-Lite ontologies. In: Description Logics (2007)

    Google Scholar 

  7. Poggi, A., Rodriguez, M., Ruzzi, M.: Ontology-based database access with DIG-Mastro and the OBDA plugin for protégé. In: Proc. of OWLED (2008)

    Google Scholar 

  8. Rodríguez-Muro, M., Kontchakov, R., Zakharyaschev, M.: Ontology-based data access: Ontop of databases. In: Alani, H., Kagal, L., Fokoue, A., Groth, P., Biemann, C., Parreira, J.X., Aroyo, L., Noy, N., Welty, C., Janowicz, K. (eds.) ISWC 2013, Part I. LNCS, vol. 8218, pp. 558–573. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  9. Stocker, M., Smith, M.: Owlgres: a scalable OWL reasoner. In: OWLED, vol. 432 (2008)

    Google Scholar 

  10. Straccia, U.: Transforming fuzzy description logics into classical description logics. In: Alferes, J.J., Leite, J. (eds.) JELIA 2004. LNCS (LNAI), vol. 3229, pp. 385–399. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  11. Straccia, U.: Answering vague queries in fuzzy DL-Lite. In: Proceedings of the 11th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, (IPMU 2006), pp. 2238–2245 (2006)

    Google Scholar 

  12. Straccia, U.: Towards top-k query answering in description logics: the case of DL-Lite. In: Fisher, M., van der Hoek, W., Konev, B., Lisitsa, A. (eds.) JELIA 2006. LNCS (LNAI), vol. 4160, pp. 439–451. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  13. Straccia, U.: Softfacts: a top-k retrieval engine for ontology mediated access to relational databases. In: 2010 IEEE International Conference on Systems Man and Cybernetics (SMC), pp. 4115–4122. IEEE (2010)

    Google Scholar 

  14. Venetis, T., Stoilos, G., Stamou, G.: Query extensions and incremental query rewriting for OWL 2 QL ontologies. Journal on Data Semantics pp. 1–23 (2014)

    Google Scholar 

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Correspondence to Theofilos Mailis .

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Mailis, T., Turhan, AY. (2015). Employing \(DL\text {-}Lite_{R}\)-Reasoners for Fuzzy Query Answering. In: Supnithi, T., Yamaguchi, T., Pan, J., Wuwongse, V., Buranarach, M. (eds) Semantic Technology. JIST 2014. Lecture Notes in Computer Science(), vol 8943. Springer, Cham. https://doi.org/10.1007/978-3-319-15615-6_5

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  • DOI: https://doi.org/10.1007/978-3-319-15615-6_5

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  • Online ISBN: 978-3-319-15615-6

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