Abstract
Flexible query answering can be implemented in an intelligent database system by query generalization to obtain answers close to a user’s intention although not answering his query exactly. In this paper, we focus on the generalization operator “Anti-Instantiation” and investigate how syntactic similarity measures can be used to rank generalized queries with regard to their closeness to the original query.
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References
Inoue, K., Wiese, L.: Generalizing conjunctive queries for informative answers. In: Christiansen, H., De Tré, G., Yazici, A., Zadrozny, S., Andreasen, T., Larsen, H.L. (eds.) FQAS 2011. LNCS, vol. 7022, pp. 1–12. Springer, Heidelberg (2011)
Michalski, R.S.: A theory and methodology of inductive learning. Artificial Intelligence 20(2), 111–161 (1983)
Tversky, A.: Features of similarity. Psychological Review 84(4), 327–352 (1977)
Ferilli, S., Basile, T.M.A., Biba, M., Mauro, N.D., Esposito, F.: A general similarity framework for horn clause logic. Fundamenta Informaticae 90(1-2), 43–66 (2009)
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Wiese, L. (2013). Syntactic Similarity for Ranking Database Answers Obtained by Anti-Instantiation. In: Timm, I.J., Thimm, M. (eds) KI 2013: Advances in Artificial Intelligence. KI 2013. Lecture Notes in Computer Science(), vol 8077. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40942-4_29
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DOI: https://doi.org/10.1007/978-3-642-40942-4_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40941-7
Online ISBN: 978-3-642-40942-4
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