Abstract
DL-Lite is a tractable family of description logics particularly suitable for query answering. One of the fundamental issues in this area is the dynamics of the knowledge base which is a problem closely related to the belief revision one. This paper investigates revision of prioritized DL-Lite knowledge bases when a new input piece of information, possibly conflicting or uncertain, becomes available. To encode the prioritized knowledge, we use a possibility theory-based DL-Lite logic. We first study revision at the semantic level consisting in directly conditioning possibility distributions. In particular, we show that such conditioning provides in some situations some counterintuitive results compared with the ones of conditioning directly the knowledge base syntactically. We then study revision at the syntactic level of possibilistic DL-Lite knowledge bases. Finally, we show that such revision process has a meaningful semantic counterpart.
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Benferhat, S., Bouraoui, Z., Tabia, K. (2014). On the Revision of Prioritized DL-Lite Knowledge Bases. In: Straccia, U., Calì, A. (eds) Scalable Uncertainty Management. SUM 2014. Lecture Notes in Computer Science(), vol 8720. Springer, Cham. https://doi.org/10.1007/978-3-319-11508-5_3
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DOI: https://doi.org/10.1007/978-3-319-11508-5_3
Publisher Name: Springer, Cham
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