Abstract
We report on preliminary research towards native algorithms for query answering over relational nonmonotonic Multi-Context Systems (MCS), i.e., algorithms that do not rely on computing equilibria. Inspired by techniques for query answering in distributed answer set programming, we identify MCS settings where a generalized query answering algorithm is effective and efficient; confirmed by a preliminary evaluation on a real world application.
This research has been partially supported by the Austrian Science Fund (FWF) grant P24090, the Vienna Science and Technology Fund (WWTF) grant ICT 08-020, the Calabrian Region under project PIA KnowRex POR FESR 2007- 2013 BURC n. 49 s.s. n. 1 16/12/2010, and Italian Ministry for University and Research (MIUR) under project FRAME PON01_02477/4.
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Barilaro, R., Fink, M., Ricca, F., Terracina, G. (2013). Towards Query Answering in Relational Multi-Context Systems. In: Cabalar, P., Son, T.C. (eds) Logic Programming and Nonmonotonic Reasoning. LPNMR 2013. Lecture Notes in Computer Science(), vol 8148. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40564-8_17
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DOI: https://doi.org/10.1007/978-3-642-40564-8_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40563-1
Online ISBN: 978-3-642-40564-8
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