Output details
11 - Computer Science and Informatics
University of Oxford
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Output 0 of 0 in the submission
Output title
Heuristic Ranking in Tightly Coupled Probabilistic Description Logics
Type
E - Conference contribution
DOI
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Name of conference/published proceedings
Twenty-Eighth Conference on Uncertainty in Artificial Intelligence
Volume number
-
Issue number
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First page of article
554
ISSN of proceedings
-
Year of publication
2012
Number of additional authors
3
Additional information
<22>
We describe a new generation of probabilistic knowledge bases combining the description logic EL++ with Markov Logic Networks. We introduce an original separation of concerns between knowledge and uncertainty that, besides being a natural modelling assumption, enables to obtain tractability results for several reasoning tasks including query answering. The same framework can be used to obtain similar tractability results for other combinations of knowledge representation languages and probabilistic models. Since 1985 UAI is the major venue on research related to representation, inference, learning and decision making in the presence of uncertainty.
Interdisciplinary
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Cross-referral requested
-
Research group
None
Citation count
-
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
