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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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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