Abstract
We presented a top-k algorithm to retrieve tuples according to the order provided by a non-necessarily monotone ranking funtion that belongs to a novel family of functions. The conditions imposed on the ranking functions are related to the values where the maximum score is achieved.
This work was supported by the European Regional Development Fund projects CZ.1.05/1.1.00/02.0070 and CZ.1.07/2.3.00/30.0010.
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References
Badr, M., Vodislav, D.: A general top-k algorithm for web data sources. In: Hameurlain, A., Liddle, S.W., Schewe, K.-D., Zhou, X. (eds.) DEXA 2011, Part I. LNCS, vol. 6860, pp. 379–393. Springer, Heidelberg (2011)
He, Z., Lo, E.: Answering why-not questions on top-k queries. IEEE Transactions on Knowledge and Data Engineering 99, 1 (2012)
Ilyas, I., Aref, W., Elmagarmid, A.: Supporting top-k join queries in relational databases. The VLDB Journal 13(3), 207–221 (2004)
Ilyas, I.F., Beskales, G., Soliman, M.A.: A survey of top-k query processing techniques in relational database systems. ACM Comput. Surv. 40(4), 11:1–11:58 (2008)
Luo, Y., Wang, W., Lin, X., Zhou, X., Wang, J., Li, K.: Spark2: Top-k keyword query in relational databases. IEEE Transactions on Knowledge and Data Engineering 23(12), 1763–1780 (2011)
Marian, A., Bruno, N., Gravano, L.: Evaluating top-k queries over web-accessible databases. ACM Trans. Database Syst. 29(2), 319–362 (2004)
Ranu, S., Singh, A.K.: Answering top-k queries over a mixture of attractive and repulsive dimensions. Proc. VLDB Endowment 5(3), 169–180 (2011)
Straccia, U.: Top-k retrieval for ontology mediated access to relational databases. Information Sciences 198, 1–23 (2012)
Straccia, U., Madrid, N.: A top-k query answering procedure for fuzzy logic programming. Fuzzy Set and Systems 205, 1–29 (2012)
Xin, D., Han, J., Chang, K.C.: Progressive and selective merge: computing top-k with ad-hoc ranking functions. In: Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data, SIGMOD 2007, pp. 103–114. ACM, New York (2007)
Xu, C., Wang, Y., Lin, S., Gu, Y., Qiao, J.: Efficient fuzzy top-k query processing over uncertain objects. In: Bringas, P.G., Hameurlain, A., Quirchmayr, G. (eds.) DEXA 2010, Part I. LNCS, vol. 6261, pp. 167–182. Springer, Heidelberg (2010)
Yi, K., Li, F., Kollios, G., Srivastava, D.: Efficient processing of top-k queries in uncertain databases with x-relations. IEEE Transactions on Knowledge and Data Engineering 20(12), 1669–1682 (2008)
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Madrid, N., Straccia, U. (2013). On Top-k Retrieval for a Family of Non-monotonic Ranking Functions. In: Larsen, H.L., Martin-Bautista, M.J., Vila, M.A., Andreasen, T., Christiansen, H. (eds) Flexible Query Answering Systems. FQAS 2013. Lecture Notes in Computer Science(), vol 8132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40769-7_44
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DOI: https://doi.org/10.1007/978-3-642-40769-7_44
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