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Tractable Reasoning with Bayesian Description Logics

Abstract:

The DL-Lite family of tractable description logics lies between the semantic web languages RDFS and OWL Lite. In this paper, we present a probabilistic generalization of the DL-Lite description logics, which is based on Bayesian networks. As an important feature, the new probabilistic description logics allow for flexibly combining terminological and assertional pieces of probabilistic knowledge. We show that the new probabilistic description logics are rich enough to properly extend both the DL-Lite description logics as well as Bayesian networks. We also show that satisfiability checking and query processing in the new probabilistic description logics is reducible to satisfiability checking and query processing in the DL-Lite family. Furthermore, we show that satisfiability checking and answering unions of conjunctive queries in the new logics can be done in LogSpace in the data complexity. For this reason, the new probabilistic description logics are very promising formalisms for data-intensive applications in the Semantic Web involving probabilistic uncertainty.

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Publisher:
Springer
Host title:
Proceedings of the 2nd International Conference on Scalable Uncertainty Management‚ SUM 2008‚ Naples‚ Italy‚ October 1−3‚ 2008
Volume:
5291
Publication date:
2008-01-01
ISBN:
9783540879923


UUID:
uuid:2a27d408-fa23-43c1-b163-95c7ff5ad308
Local pid:
cs:6659
Deposit date:
2015-03-31
ARK identifier:

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