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The Data Complexity of the Syllogistic Fragments of English

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Logic, Language and Meaning

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6042))

Abstract

Pratt and Third’s syllogistic fragments of English can be used to capture, in addition to syllogistic reasoning, many other kinds of common sense reasoning, and, in particular (i) knowledge base consistency and (ii) knowledge base query answering, modulo their FO semantic representations. We show how difficult, in terms of semantic (computational) complexity and data complexity (i.e., computational complexity w.r.t. the number of instances declared in a knowledge base), such reasoning problems are. In doing so, we pinpoint also those fragments for which the reasoning problems are tractable (in PTime) or intractable (NP-hard or coNP-hard).

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References

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

    MATH  Google Scholar 

  2. Bernardi, R., Bonin, F., Carbotta, D., Calvanese, D., Thorne, C.: English querying over ontologies: E-QuOnto. In: Proc. of the 10th Congress of the Italian Association for Artificial Intelligence AI*IA 2007 (2007)

    Google Scholar 

  3. Bernardi, R., Calvanese, D., Thorne, C.: Expressing DL-Lite ontologies with controlled English. In: Proc. of the 20th Int. Workshop on Description Logics, DL 2007 (2007)

    Google Scholar 

  4. Calvanese, D., de Giacomo, G., Lembo, D., Lenzerini, M., Rosati, R.: Efficiently managing data intensive ontologies. In: Proc. of the 2nd Italian Semantic Web Workshop: Semantic Web Applications and Perspectives, SWAP 2005 (2005)

    Google Scholar 

  5. FermĂ¼ller, C.G., Leitsch, A., Hustadt, U., Tammet, T.: Resolution decision procedures. In: Robinson, A., Voronkov, A. (eds.) Handbook of Automated Reasoning, vol. 2, ch. 2, 1791–1849. Elsevier - The MIT Press (2001)

    Google Scholar 

  6. Joyner, W.H.: Resolution strategies as decision procedures. Journal of the ACM 23(3), 398–417 (1976)

    Article  MATH  MathSciNet  Google Scholar 

  7. Jurafsky, D., Martin, J.: Speech and Language Processing. Prentice-Hall, Englewood Cliffs (2000)

    Google Scholar 

  8. Montague, R.: Universal grammar. Theoria 36(3), 373–398 (1970)

    Article  MathSciNet  Google Scholar 

  9. Pratt, I.: Data complexity of the two-variable fragment with counting quantifiers. Information and Computation 207(8), 867–888 (2008)

    Article  Google Scholar 

  10. Pratt, I., Third, A.: More fragments of language. Notre Dame Journal of Formal Logic 47(2), 151–177 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  11. Pratt-Hartmann, I.: Computational complexity of controlled natural languages. In: Proc. of the Workshop in Controlled Languages CNL 2009 (2009)

    Google Scholar 

  12. Schaerf, A.: On the complexity of the instance checking problem in concept languages with existential quantification. Journal of Intelligent Information Systems 2(3), 265–278 (1993)

    Article  MathSciNet  Google Scholar 

  13. Slavkovik, M.: Deep analysis for an interactive question answering system. Master’s thesis, Free University of Bozen-Bolzano (2007)

    Google Scholar 

  14. Staab, S., Studer, R. (eds.): Handbook on Ontologies. Int. Handbooks on Information Systems. Springer, Heidelberg (2004)

    Google Scholar 

  15. Szymanik, J.: The computational complexity of quantified reciprocals. In: Proc. of the 2007 Tbilisi Colloquium, TbiLLC 2007 (2007)

    Google Scholar 

  16. Thorne, C., Calvanese, D.: Tree shaped aggregate queries over ontologies. In: Proc. of the 8th Int. Conf. on Flexible Query Answering Systems FQAS 2009 (2009)

    Google Scholar 

  17. Vardi, M.: The complexity of relational query languages. In: Proc. of the 14th Annual ACM Symposium on Theory of Computing, STOC 1982 (1982)

    Google Scholar 

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Thorne, C., Calvanese, D. (2010). The Data Complexity of the Syllogistic Fragments of English. In: Aloni, M., Bastiaanse, H., de Jager, T., Schulz, K. (eds) Logic, Language and Meaning. Lecture Notes in Computer Science(), vol 6042. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14287-1_12

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  • DOI: https://doi.org/10.1007/978-3-642-14287-1_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14286-4

  • Online ISBN: 978-3-642-14287-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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