Abstract
Ensuring consistency of a knowledge base is crucial for reasoning. Knowledge axiomatization mistakes may block intended inferences and generate unintended ones. Since knowledge bases appropriate for natural language understanding should be large enough to support sufficient lexical and conceptual coverage, their manual verification and repair is a challenging and time-consuming task. Therefore automatic procedures for detecting and repairing inconsistencies are preferred over manual ones. However, as the reader will see in the following sections, fully automatic diagnosis and correction of a KB is not alwayspossible.
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© 2012 Atlantis Press and the authors
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Ovchinnikova, E. (2012). Ensuring Consistency. In: Integration of World Knowledge for Natural Language Understanding. Atlantis Thinking Machines, vol 3. Atlantis Press. https://doi.org/10.2991/978-94-91216-53-4_6
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DOI: https://doi.org/10.2991/978-94-91216-53-4_6
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