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More on the Data Complexity of Answering Ontology-Mediated Queries with a Covering Axiom

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 786))

Abstract

We report on our recent results in the ongoing attempts to classify conjunctive queries (CQs) \({\varvec{q}}\) according to the data complexity of answering ontology-mediated queries of the form \((\{A \sqsubseteq F \sqcup T\},{\varvec{q}})\). In particular, we present new families of path CQs for which this problem is NL-, P- or coNP-complete.

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Notes

  1. 1.

    https://www.w3.org/TR/owl2-profiles/.

  2. 2.

    The OMQ \({{\varvec{Q}}= (\mathcal {D}{is}_\top , {\varvec{q}})}\) with this CQ \({\varvec{q}}\) can be interpreted as follows, assuming that F stands for ‘female’, T for ‘male’, \(\top \) for all the individuals of the domain in question, and R for the ‘follows’ relation: given a graph of Twitter users, in which the gender may be specified for some nodes and missing for the other ones, check whether there certainly exist two people (nodes) in the graph of different gender who follow each other.

References

  1. Abiteboul, S., Hull, R., Vianu, V.: Foundations of Databases. Addison-Wesley, Menlo Park (1995)

    MATH  Google Scholar 

  2. Afrati, F.N., Gergatsoulis, M., Toni, F.: Linearisability on datalog programs. Theor. Comput. Sci. 308(1—-3), 199–226 (2003). https://doi.org/10.1016/S0304-3975(02)00730-2

  3. Artale, A., Calvanese, D., Kontchakov, R., Zakharyaschev, M.: The DL-Lite family and relations. J. Artif. Intell. Res. (JAIR) 36, 1–69 (2009)

    MathSciNet  MATH  Google Scholar 

  4. Baader, F., Horrocks, I., Lutz, C., Sattler, U.: An Introduction to Description Logic. Cambridge University Press, Cambridge (2017)

    Book  MATH  Google Scholar 

  5. Bienvenu, M., ten Cate, B., Lutz, C., Wolter, F.: Ontology-based data access: a study through disjunctive datalog, CSP, and MMSNP. ACM Trans. Database Syst. 39(4), 33:1–44 (2014)

    Article  MathSciNet  Google Scholar 

  6. Bienvenu, M., Ortiz, M.: Ontology-mediated query answering with data-tractable description logics. In: Faber, W., Paschke, A. (eds.) Reasoning Web 2015. LNCS, vol. 9203, pp. 218–307. Springer, Cham (2015). doi:10.1007/978-3-319-21768-0_9

    Chapter  Google Scholar 

  7. 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. Autom. Reasoning 39(3), 385–429 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  8. Calvanese, D., De Giacomo, G., Lembo, D., Lenzerini, M., Rosati, R.: Data complexity of query answering in description logics. Artif. Intell. 195, 335–360 (2013). https://doi.org/10.1016/j.artint.2012.10.003

  9. Feier, C., Kuusisto, A., Lutz, C.: Rewritability in monadic disjunctive datalog, MMSNP, and expressive description logics. CoRR abs/1701.02231 (2017). http://arxiv.org/abs/1701.02231

  10. Gerasimova, O., Kikot, S., Podolskii, V., Zakharyaschev, M.: On the data complexity of ontology-mediated queries with a covering axiom. In: Proceedings of the 30th International Workshop on Description Logics (2017)

    Google Scholar 

  11. Gottlob, G., Papadimitriou, C.H.: On the complexity of single-rule datalog queries. Inf. Comput. 183(1), 104–122 (2003). http://dx.doi.org/10.1016/S0890-5401(03)00012-9

  12. Grau, B.C., Motik, B., Stoilos, G., Horrocks, I.: Computing datalog rewritings beyond horn ontologies. In: IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3–9, 2013, pp. 832–838 (2013). http://www.aaai.org/ocs/index.php/IJCAI/IJCAI13/paper/view/6318

  13. Hernich, A., Lutz, C., Ozaki, A., Wolter, F.: Schema.org as a description logic. In: Calvanese, D., Konev, B. (eds.) Proceedings of the 28th International Workshop on Description Logics, Athens, Greece, June 7–10, 2015, CEUR Workshop Proceedings, vol. 1350. CEUR-WS.org (2015). http://ceur-ws.org/Vol-1350/paper-24.pdf

  14. Kaminski, M., Nenov, Y., Grau, B.C.: Datalog rewritability of disjunctive datalog programs and non-Horn ontologies. Artif. Intell. 236, 90–118 (2016). http://dx.doi.org/10.1016/j.artint.2016.03.006

  15. Kontchakov, R., Rodríguez-Muro, M., Zakharyaschev, M.: Ontology-based data access with databases: a short course. In: Rudolph, S., Gottlob, G., Horrocks, I., van Harmelen, F. (eds.) Reasoning Web 2013. LNCS, vol. 8067, pp. 194–229. Springer, Heidelberg (2013). doi:10.1007/978-3-642-39784-4_5

    Chapter  Google Scholar 

  16. Kontchakov, R., Zakharyaschev, M.: An introduction to description logics and query rewriting. In: Koubarakis, M., Stamou, G., Stoilos, G., Horrocks, I., Kolaitis, P., Lausen, G., Weikum, G. (eds.) Reasoning Web 2014. LNCS, vol. 8714, pp. 195–244. Springer, Cham (2014). doi:10.1007/978-3-319-10587-1_5

    Chapter  Google Scholar 

  17. Krisnadhi, A., Lutz, C.: Data complexity in the \(\cal{EL}\) family of description logics. In: Dershowitz, N., Voronkov, A. (eds.) LPAR 2007. LNCS, vol. 4790, pp. 333–347. Springer, Heidelberg (2007). doi:10.1007/978-3-540-75560-9_25

    Chapter  Google Scholar 

  18. Lutz, C., Sabellek, L.: Ontology-mediated querying with \(\cal{EL}\): Trichotomy and linear datalog rewritabvility. In: Proceedings of the 30th International Workshop on Description Logics (2017)

    Google Scholar 

  19. Poggi, A., Lembo, D., Calvanese, D., De Giacomo, G., Lenzerini, M., Rosati, R.: Linking data to ontologies. J. Data Semant. X 4900, 133–173 (2008)

    Article  MATH  Google Scholar 

  20. Rosati, R.: The limits of querying ontologies. In: Schwentick, T., Suciu, D. (eds.) ICDT 2007. LNCS, vol. 4353, pp. 164–178. Springer, Heidelberg (2006). doi:10.1007/11965893_12

    Chapter  Google Scholar 

  21. Schaerf, A.: On the complexity of the instance checking problem in concept languages with existential quantification. J. Intell. Inf. Syst. 2, 265–278 (1993)

    Article  Google Scholar 

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Acknowledgements

The work of O. Gerasimova and M. Zakharyaschev was carried out at the National Research University Higher School of Economics and supported by the Russian Science Foundation under grant 17-11-01294; the work of V. Podolskii was supported by the Russian Academic Excellence Project ‘5-100’ and by grant MK-7312.2016.1.

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Correspondence to Olga Gerasimova .

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Gerasimova, O., Kikot, S., Podolskii, V., Zakharyaschev, M. (2017). More on the Data Complexity of Answering Ontology-Mediated Queries with a Covering Axiom. In: Różewski, P., Lange, C. (eds) Knowledge Engineering and Semantic Web. KESW 2017. Communications in Computer and Information Science, vol 786. Springer, Cham. https://doi.org/10.1007/978-3-319-69548-8_11

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  • DOI: https://doi.org/10.1007/978-3-319-69548-8_11

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