Advertisement

Towards Practical OBDA with Temporal Ontologies

(Position Paper)
  • Diego Calvanese
  • Elem Güzel KalaycıEmail author
  • Vladislav Ryzhikov
  • Guohui Xiao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9898)

Abstract

The temporal dimension of data, which contains such important information as duration or sequence of events and is present in many applications of ontology-based data access (OBDA) concerned with logs or streams, is getting growing attention in the community. To give a proper treatment to the events occurring in the data from the ontological perspective, we assume in our approach that every concept is temporalized, i.e., has temporal validity time, and the ontology language expresses the constraints between validity times of concepts. In this paper we outline the state of art and the future challenges of our research. On the theoretical side, we are interested in enriching the ontology languages with the operators for constructing the temporal concepts that are expressive enough to capture the patterns required by industrial use-cases. On the practical side, we are interested in implementing the ontology-mediated query answering with temporalized concepts in the OBDA system Ontop and performing extensive evaluations using large amounts of real-world data.

Keywords

Ontology-based data access Temporal logic Description logic 

Notes

Acknowledgements

This paper is supported by the EU under the large-scale integrating project (IP) Optique (Scalable End-user Access to Big Data), grant agreement n. FP7-318338.

References

  1. 1.
    Artale, A., Kontchakov, R., Kovtunova, A., Ryzhikov, V., Wolter, F., Zakharyaschev, M.: First-order rewritability of temporal ontology-mediated queries. In: Proceedings of IJCAI 2015, pp. 2706–2712. AAAI Press (2015)Google Scholar
  2. 2.
    Artale, A., Kontchakov, R., Ryzhikov, V., Zakharyaschev, M.: A cookbook for temporal conceptual data modelling with description logics. ACM Trans. Comput. Log. 15(3), 25:1–25:50 (2014)MathSciNetCrossRefzbMATHGoogle Scholar
  3. 3.
    Artale, A., Kontchakov, R., Ryzhikov, V., Zakharyaschev, M.: Tractable interval temporal propositional and description logics. In: Proceedings of AAAI 2015, pp. 1417–1423. AAAI Press (2015)Google Scholar
  4. 4.
    Baader, F., Borgwardt, S., Lippmann, M.: Temporalizing ontology-based data access. In: Bonacina, M.P. (ed.) CADE 2013. LNCS, vol. 7898, pp. 330–344. Springer, Heidelberg (2013)Google Scholar
  5. 5.
    Basulto, V.G., Jung, J., Kontchakov, R.: Temporalized EL ontologies for accessing temporal data: complexity of atomic queries. In: Proceedings of 25th International Joint Conference on Artificial Intelligence (IJCAI-2016). AAAI Press (2016)Google Scholar
  6. 6.
    Böhlen, M.H., Snodgrass, R.T., Soo, M.D.: Coalescing in temporal databases. In: Proceedings of 22th International Conference on Very Large Data Bases (VLDB 1996), pp. 180–191 (1996)Google Scholar
  7. 7.
    Borgwardt, S., Lippmann, M., Thost, V.: Temporal query answering in the description logic DL-Lite. In: Proceedings of FroCoS 2013, pp. 165–180 (2013)Google Scholar
  8. 8.
    Borgwardt, S., Lippmann, M., Thost, V.: Temporalizing rewritable query languages over knowledge bases. J. Web Semant. 33, 50–70 (2015). Ontology-Based Data AccessCrossRefGoogle Scholar
  9. 9.
    Calvanese, D., Giacomo, G., Lembo, D., Lenzerini, M., Rosati, R.: Tractable reasoning and efficient query answering in description logics: the DL-Lite family. J. Autom. Reason. 39(3), 385–429 (2007)MathSciNetCrossRefzbMATHGoogle Scholar
  10. 10.
    Gao, D., Jensen, C.S., Snodgrass, R.T., Soo, M.D.: Join operations in temporal databases. VLDB J. 14(1), 2–29 (2005)CrossRefGoogle Scholar
  11. 11.
    Giese, M., Soylu, A., Vega-Gorgojo, G., Waaler, A., Haase, P., Jiménez-Ruiz, E., Lanti, D., Rezk, M., Xiao, G., Özçep, Ö.L., Rosati, R.: Optique - zooming in on big data access. IEEE Comput. 48(3), 60–67 (2015)CrossRefGoogle Scholar
  12. 12.
    Gutiérrez-Basulto, V., Klarman, S.: Towards a unifying approach to representing and querying temporal data in description logics. In: Krötzsch, M., Straccia, U. (eds.) RR 2012. LNCS, vol. 7497, pp. 90–105. Springer, Heidelberg (2012)Google Scholar
  13. 13.
    Kharlamov, E., et al.: How semantic technologies can enhance data access at siemens energy. In: Mika, P., et al. (eds.) ISWC 2014, Part I. LNCS, vol. 8796, pp. 601–619. Springer, Heidelberg (2014)Google Scholar
  14. 14.
    Klarman, S., Meyer, T.: Querying temporal databases via OWL 2 QL. In: Kontchakov, R., Mugnier, M.-L. (eds.) RR 2014. LNCS, vol. 8741, pp. 92–107. Springer, Heidelberg (2014)Google Scholar
  15. 15.
    Kontchakov, R., Pandolfo, L., Pulina, L., Ryzhikov, V., Zakharyaschev, M.: Temporal and spatial OBDA with many-dimensional Halpern-Shoham logic. In: Proceedings of 25th International Joint Conference on Artificial Intelligence (IJCAI-2016). AAAI Press (2016)Google Scholar
  16. 16.
    Koymans, R.: Specifying real-time properties with metric temporal logic. Real-Time Syst. 2(4), 255–299 (1990)CrossRefGoogle Scholar
  17. 17.
    Lutz, C., Wolter, F., Zakharyaschev, M.: Temporal description logics: a survey. In: Proceedings of TIME 2008, pp. 3–14. IEEE Computer Society (2008)Google Scholar
  18. 18.
    National Oceanic and Atmospheric Administration: National weather service glossary (2009). http://w1.weather.gov/glossary/index.php?letter=b. Accessed 03 Jun 2016
  19. 19.
    Özçep, Ö., Möller, R., Neuenstadt, C., Zheleznyakov, C., Kharlamov, E.: OBDA with temporal and stream-oriented queries: optimization techniques, D5.2. Technical report, FP7-318338, EU (2014)Google Scholar
  20. 20.
    Özçep, Ö.L., Möller, R., Neuenstadt, C.: A stream-temporal query language for ontology based data access. In: Lutz, C., Thielscher, M. (eds.) KI 2014. LNCS, vol. 8736, pp. 183–194. Springer, Heidelberg (2014)Google Scholar
  21. 21.
    Poggi, A., Lembo, D., Calvanese, D., De Giacomo, G., Lenzerini, M., Rosati, R.: Linking data to ontologies. In: Spaccapietra, S. (ed.) Journal on Data Semantics X. LNCS, vol. 4900, pp. 133–173. Springer, Heidelberg (2008)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Diego Calvanese
    • 1
  • Elem Güzel Kalaycı
    • 1
    Email author
  • Vladislav Ryzhikov
    • 1
  • Guohui Xiao
    • 1
  1. 1.KRDB Research Centre for Knowledge and DataFree University of Bozen-BolzanoBolzanoItaly

Personalised recommendations