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International Conference on Modeling Decisions for Artificial Intelligence

MDAI 2019: Modeling Decisions for Artificial Intelligence pp 259–271Cite as

Making Decisions with Knowledge Base Repairs

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11676))

Abstract

Building large knowledge bases (KBs) is a fundamental task for automated reasoning and intelligent applications. Needing the interaction between domain and modeling knowledge, it is also error-prone. In fact, even well-maintained KBs are often found to lead to unwanted conclusions. We deal with two kinds of decisions associated with faulty KBs. First, which portions of the KB (and their conclusions) can still be trusted? Second, which is the correct way to repair the KB? Our solution to both problems is based on storing all the information about repairs in a compact data structure.

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References

  1. Apt, K.: Principles of Constraint Programming. Cambridge University Press, New York (2003)

    Book  Google Scholar 

  2. Baader, F., Calvanese, D., McGuinness, D., Nardi, D., Patel-Schneider, P. (eds.): The Description Logic Handbook: Theory, Implementation, and Applications, 2nd edn. Cambridge University Press, New York (2007)

    MATH  Google Scholar 

  3. Baader, F., Peñaloza, R.: Automata-based axiom pinpointing. In: Armando, A., Baumgartner, P., Dowek, G. (eds.) IJCAR 2008. LNCS (LNAI), vol. 5195, pp. 226–241. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-71070-7_19

    Chapter  Google Scholar 

  4. Baader, F., Peñaloza, R.: Axiom pinpointing in general tableaux. J. Logic Comput. 20(1), 5–34 (2010). https://doi.org/10.1093/logcom/exn058

    Article  MathSciNet  MATH  Google Scholar 

  5. Bienvenu, M., Rosati, R.: Tractable approximations of consistent query answering for robust ontology-based data access. In: Proceedings IJCAI 2013, pp. 775–781. AAAI Press (2013)

    Google Scholar 

  6. Biere, A., Heule, M., van Maaren, H., Walsh, T. (eds.): Handbook of Satisfiability, Frontiers in Artificial Intelligence and Applications, vol. 185. IOS Press, Amsterdam (2009)

    Google Scholar 

  7. Darwiche, A.: SDD: a new canonical representation of propositional knowledge bases. In: Proceedings IJCAI 2011, pp. 819–826. IJCAI/AAAI (2011)

    Google Scholar 

  8. Darwiche, A., Pearl, J.: On the logic of iterated belief revision. In: Proceedings TARK 1994, pp. 5–23 (1994)

    Google Scholar 

  9. Drechsler, R., Becker, B.: Binary Decision Diagrams - Theory and Implementation. Springer, Berlin (1998)

    Book  Google Scholar 

  10. Ludwig, M., Peñaloza, R.: Error-tolerant reasoning in the description logic \(\cal{E{}L}\). In: Fermé, E., Leite, J. (eds.) JELIA 2014. LNCS (LNAI), vol. 8761, pp. 107–121. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11558-0_8

    Chapter  MATH  Google Scholar 

  11. Peñaloza Nyssen, R.: Axiom pinpointing in description logics and beyond. Ph.D. thesis, Technische Universität Dresden, Germany (2009)

    Google Scholar 

  12. Peñaloza, R.: Inconsistency-tolerant instance checking in tractable description logics. In: Costantini, S., Franconi, E., Van Woensel, W., Kontchakov, R., Sadri, F., Roman, D. (eds.) RuleML+RR 2017. LNCS, vol. 10364, pp. 215–229. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-61252-2_15

    Chapter  Google Scholar 

  13. Peñaloza, R., Sertkaya, B.: Understanding the complexity of axiom pinpointing in lightweight description logics. Artif. Intell. 250, 80–104 (2017)

    Article  MathSciNet  Google Scholar 

  14. Peñaloza, R., Thuluva, A.S.: Iterative ontology updates using context labels. In: Proceedings JOWO 2015. CEUR Workshop Proceedings, vol. 1517. CEUR-WS.org (2015)

    Google Scholar 

  15. Price, C., Spackman, K.: Snomed clinical terms. Br. J. Healthc. Comput. Inf. Manag. 17(3), 27–31 (2000)

    Google Scholar 

  16. Reiter, R.: A theory of diagnosis from first principles. AIJ 32(1), 57–95 (1987)

    MathSciNet  MATH  Google Scholar 

  17. Shannon, C.E.: The synthesis of two-terminal switching circuits. Bell Syst. Tech. J. 28(1), 59–98 (1949)

    Article  MathSciNet  Google Scholar 

  18. Zese, R., Bellodi, E., Riguzzi, F., Cota, G., Lamma, E.: Tableau reasoning for description logics and its extension to probabilities. AMAI 82(1–3), 101–130 (2018)

    MathSciNet  MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. University of Milano-Bicocca, Milan, Italy

    Rafael Peñaloza

Authors
  1. Rafael Peñaloza
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Correspondence to Rafael Peñaloza .

Editor information

Editors and Affiliations

  1. Maynooth University, Maynooth, Ireland

    Vicenç Torra

  2. Tamagawa University, Machida, Tokyo, Japan

    Yasuo Narukawa

  3. University of Milano-Bicocca, Milan, Italy

    Gabriella Pasi

  4. University of Milano-Bicocca, Milan, Italy

    Marco Viviani

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Peñaloza, R. (2019). Making Decisions with Knowledge Base Repairs. In: Torra, V., Narukawa, Y., Pasi, G., Viviani, M. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2019. Lecture Notes in Computer Science(), vol 11676. Springer, Cham. https://doi.org/10.1007/978-3-030-26773-5_23

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  • DOI: https://doi.org/10.1007/978-3-030-26773-5_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26772-8

  • Online ISBN: 978-3-030-26773-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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