Computing repairs for inconsistent DL-programs over EL ontologies

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Abstract

DL-programs couple nonmonotonic logic programs with DLontologies through queries in a loose way which may lead to inconsistency, i.e., lack of an answer set. Recently defined repair answer sets remedy this. In particular, for DL-LiteA ontologies, the computation of deletion repair answer sets can effectively be reduced to constraint matching based on so-called support sets. Here we consider the problem for DL-programs over EL ontologies. This is more challenging than adopting a suitable notion of support sets and their computation. Compared to DL-LiteA, support sets may neither be small nor few, and completeness may need to be given up in favor of sound repair computation on incomplete support information. We provide such an algorithm and discuss partial support set computation, as well as a declarative implementation. Preliminary experiments show a very promising potential of the partial support set approach.

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Eiter, T., Fink, M., & Stepanova, D. (2014). Computing repairs for inconsistent DL-programs over EL ontologies. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8761, 426–441. https://doi.org/10.1007/978-3-319-11558-0_30

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