Incremental Reasoning in OWL EL without Bookkeeping

International Semantic Web Conference (1)(2013)

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摘要
We describe a method for updating the classification of ontologies expressed in the family of Description Logics after some axioms have been added or deleted. While incremental classification modulo additions is relatively straightforward, handling deletions is more problematic since it requires retracting logical consequences that are no longer valid. Known algorithms address this problem using various forms of bookkeeping to trace the consequences back to premises. But such additional data can consume memory and place an extra burden on the reasoner during application of inferences. In this paper, we present a technique, which avoids this extra cost while being very efficient for small incremental changes in ontologies. The technique is freely available as a part of the open-source reasoner ELK and its efficiency is demonstrated on naturally occurring and synthetic data.
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