Abstract
The task of an information integration system is to combine data residing at different sources, providing the user with a unified view of them, called global schema. Simple data integration scenarios have been widely studied and efficient systems are already available. However, when some constraints are imposed on the quality of the global data, the integration process becomes difficult and, often, it may provide ambiguous results. Important research efforts have been spent in this area, but no actual system efficiently implementing the corresponding techniques is available yet. This paper is intended to be a step forward in this direction; it proposes a new data integration system, based on Answer Set Programming (ASP) and many optimizations, allowing to carry out consistent query answering (CQA) over massive amounts of data.
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References
Hayes, H., Mattos, N.: Information on demand. DB2 Magazine 8(3) (2003)
Halevy, A.Y.: Data integration: A status report. In: 10th Conference on Database Systems for Business, Technology and Web (BTW 2003), pp. 24–29 (2003)
Bertossi, L., Hunter, A., Schaub, T. (eds.): Inconsistency Tolerance. LNCS, vol. 3300. Springer, Heidelberg (2005)
Bravo, L., Bertossi, L.: Logic programming for consistently querying data integration systems. In: Int. Joint Conference on Artificial Intelligence (IJCAI 2003), pp. 10–15 (2003)
Lenzerini, M.: Data integration: A theoretical perspective. In: Proc. PODS 2002, pp. 233–246 (2002)
Leone, N., et al.: The INFOMIX System for Advanced Integration of Incomplete and Inconsistent Data. In: Proc. ACM SIGMOD 2005, pp. 915–917 (2005)
Arenas, M., Bertossi, L.E., Chomicki, J.: Consistent Query Answers in Inconsistent Databases. In: Proc. PODS 1999, pp. 68–79. ACM Press, New York (1999)
Chomicki, J., Marcinkowski, J.: Minimal-change integrity maintenance using tuple deletions. Information and Computation 197(1-2), 90–121 (2005)
Terracina, G., Leone, N., Lio, V., Panetta, C.: Experimenting with recursive queries in database and logic programming systems. Theory and Practice of Logic Programming (TPLP) 8(2), 129–165 (2008)
Leone, N., Pfeifer, G., Faber, W., Eiter, T., Gottlob, G., Perri, S., Scarcello, F.: The DLV System for Knowledge Representation and Reasoning. ACM Trans. Comput. Log. 7(3), 499–562 (2006)
Terracina, G., De Francesco, E., Panetta, C., Leone, N.: Enhancing a DLP system for advanced database applications. In: Calvanese, D., Lausen, G. (eds.) RR 2008. LNCS, vol. 5341, pp. 119–134. Springer, Heidelberg (2008)
Minker, J. (ed.): Foundations of Deductive Databases and Logic Programming. Morgan Kaufmann Publishers, Inc., Washington (1988)
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Leone, N., Ricca, F., Terracina, G. (2009). An ASP-Based Data Integration System. In: Erdem, E., Lin, F., Schaub, T. (eds) Logic Programming and Nonmonotonic Reasoning. LPNMR 2009. Lecture Notes in Computer Science(), vol 5753. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04238-6_53
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DOI: https://doi.org/10.1007/978-3-642-04238-6_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04237-9
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