Abstract
Relaxation is a cooperative method to provide informative answers to failing queries of user. The combination of deductive generalization operators in a certain order can avoid unnecessary generalization of duplicate queries. However, it is not expected to return all generalized queries to the user because the theoretical search space exponentially increases with the number of literals of the original query. This paper identifies the minimal generalization in relaxation of conjunctive queries and analyses its properties. The minimal generalization has improved the cooperative behavior of a query answering system to find related information to the user without relaxing all generalized queries. The generalization operators are ordered in relaxation based on its properties. Moreover, it provides a solution to deal with the problem of overgeneralization that leads to queries far from the user’s original intent. The algorithm for finding all minimal generalized queries is proposed based on keeping the fixed order when applying these generalization operators.
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Pham, TL., Inoue, K. (2012). Minimal Generalization for Conjunctive Queries. In: Sombattheera, C., Loi, N.K., Wankar, R., Quan, T. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2012. Lecture Notes in Computer Science(), vol 7694. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35455-7_23
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DOI: https://doi.org/10.1007/978-3-642-35455-7_23
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