Skip to main content

\(\exists \)-ASP for Computing Repairs with Existential Ontologies

  • Conference paper
  • First Online:
Scalable Uncertainty Management (SUM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9858))

Included in the following conference series:

Abstract

Repair-based techniques are a standard way of dealing with inconsistency in the context of ontology-based data access where several inconsistency-tolerant semantics have been mainly proposed for lightweight description logics. In this paper we present a generic transformation from knowledge bases expressed within existential rules formalism into an ASP program. We propose different strategies for this transformation, and highlight the ones for which answer sets of the generated program correspond to various kinds of repairs used in inconsistency-tolerant inferences.

This work was supported by the projects ASPIQ (ANR-12-BS02-0003) and the ERC Starting Grant 637277.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Available at http://www.info.univ-angers.fr/pub/claire/asperix/.

References

  1. Arenas, M., Bertossi, L.E., Chomicki, J.: Consistent query answers in inconsistent databases. In: Proceedings of SIGACT-SIGMOD-SIGART, pp. 68–79 (1999)

    Google Scholar 

  2. Baget, J.F., Benferhat, S., Bouraoui, Z., Croitoru, M., Mugnier, M.L., Papini, O., Rocher, S., Tabia, K.: A general modifier-based framework for inconsistency-tolerant query answering. In: Proceedings of KR 2016 (2016)

    Google Scholar 

  3. Baget, J., Garreau, F., Mugnier, M., Rocher, S.: Extending acyclicity notions for existential rules. In: Proceedings of ECAI 2014, pp. 39–44 (2014)

    Google Scholar 

  4. Baget, J., Garreau, F., Mugnier, M., Rocher, S.: Revisiting chase termination for existential rules and their extension to nonmonotonic negation. In: Proceedings of NMR 2014 (2014)

    Google Scholar 

  5. Baget, J., Leclère, M., Mugnier, M., Salvat, E.: On rules with existential variables: walking the decidability line. Artif. Intell. 175(9–10), 1620–1654 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  6. Baral, C.: Knowledge Representation Reasoning and Declarative Problem Solving. Cambridge University Press, Cambridge (2008)

    MATH  Google Scholar 

  7. Benferhat, S., Bouraoui, Z., Tabia, K.: How to select one preferred assertional-based repair from inconsistent and prioritized DL-Lite knowledge bases? In: Proceedings of IJCAI 2015, pp. 1450–1456 (2015)

    Google Scholar 

  8. Benferhat, S., Dubois, D., Prade, H.: Some syntactic approaches to the handling of inconsistent knowledge bases: a comparative study part 1: the flat case. Stud. Logica 58(1), 17–45 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  9. Bertossi, L.E.: Database Repairing and Consistent Query Answering. Synthesis Lectures on Data Management. Morgan & Claypool, Los Altos (2011)

    Google Scholar 

  10. Bienvenu, M.: On the complexity of consistent query answering in the presence of simple ontologies. In: Proceedings of AAAI 2012 (2012)

    Google Scholar 

  11. Bienvenu, M., Bourgaux, C., Goasdoué, F.: Querying inconsistent description logic knowledge bases under preferred repair semantics. In: Proceedings of AAAI 2016 (2016)

    Google Scholar 

  12. Bienvenu, M., Rosati, R.: Tractable approximations of consistent query answering for robust ontology-based data access. In: Proceedings of IJCAI 2013 (2013)

    Google Scholar 

  13. Garreau, F., Garcia, L., Lefèvre, C., Stéphan, I.: \(\exists \)-asp. In: Proceedings of JOWO 2015 (2015)

    Google Scholar 

  14. Lefèvre, C., Béatrix, C., Stéphan, I., Garcia, L.: ASPeRIX, a first order forward chaining approach for answer set computing. CoRR (2015, to appear in TPLP). arXiv:1503.07717

  15. Lefèvre, C., Nicolas, P.: A first order forward chaining approach for answer set computing. In: Erdem, E., Lin, F., Schaub, T. (eds.) LPNMR 2009. LNCS, vol. 5753, pp. 196–208. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  16. Lembo, D., Lenzerini, M., Rosati, R., Ruzzi, M., Savo, D.F.: Inconsistency-tolerant query answering in ontology-based data access. J. Web Sem. 33, 3–29 (2015)

    Article  Google Scholar 

  17. Lukasiewicz, T., Martinez, M.V., Pieris, A., Simari, G.I.: From classical to consistent query answering under existential rules. In: Proceedings of AAAI 2015, pp. 1546–1552 (2015)

    Google Scholar 

  18. Lukasiewicz, T., Martinez, M.V., Simari, G.I.: Inconsistency handling in datalog+/- ontologies. In: Proceedings of ECAI 2012, pp. 558–563 (2012)

    Google Scholar 

  19. Rosati, R.: On the complexity of dealing with inconsistency in description logic ontologies. In: Proceedings of the 22nd International Joint Conference on Artificial Intelligence IJCAI 2011, pp. 1057–1062 (2011)

    Google Scholar 

  20. Wan, H., Zhang, H., Xiao, P., Huang, H., Zhang, Y.: Query answering with inconsistent existential rules under stable model semantics. In: Proceedings of AAAI 2016 (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zied Bouraoui .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Baget, JF., Bouraoui, Z., Nouioua, F., Papini, O., Rocher, S., Würbel, E. (2016). \(\exists \)-ASP for Computing Repairs with Existential Ontologies. In: Schockaert, S., Senellart, P. (eds) Scalable Uncertainty Management. SUM 2016. Lecture Notes in Computer Science(), vol 9858. Springer, Cham. https://doi.org/10.1007/978-3-319-45856-4_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-45856-4_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45855-7

  • Online ISBN: 978-3-319-45856-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics