Artificial Intelligence
Attributive concept descriptions with complements
Artificial Intelligence
Improving the Variable Ordering of OBDDs Is NP-Complete
IEEE Transactions on Computers
The independent choice logic for modelling multiple agents under uncertainty
Artificial Intelligence - Special issue on economic principles of multi-agent systems
On the Interaction Between ISA and Cardinality Constraints
Proceedings of the Tenth International Conference on Data Engineering
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Debugging and repair of owl ontologies
Debugging and repair of owl ontologies
Pellet: A practical OWL-DL reasoner
Web Semantics: Science, Services and Agents on the World Wide Web
Expressive probabilistic description logics
Artificial Intelligence
Managing uncertainty and vagueness in description logics for the Semantic Web
Web Semantics: Science, Services and Agents on the World Wide Web
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Explaining Inconsistencies in OWL Ontologies
SUM '09 Proceedings of the 3rd International Conference on Scalable Uncertainty Management
Learning to order BDD variables in verification
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Parameter learning of logic programs for symbolic-statistical modeling
Journal of Artificial Intelligence Research
ProbLog: a probabilistic prolog and its application in link discovery
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Non-standard reasoning services for the debugging of description logic terminologies
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Finding all justifications of OWL DL entailments
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Pronto: a non-monotonic probabilistic description logic reasoner
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
On the implementation of the probabilistic logic programming language problog
Theory and Practice of Logic Programming
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Representing uncertain information is very important for modeling real world domains. Recently, the DISPONTE semantics has been proposed for probabilistic description logics. In DISPONTE, the axioms of a knowledge base can be annotated with a set of variables and a real number between 0 and 1. This real number represents the probability of each version of the axiom in which the specified variables are instantiated. In this paper we present the algorithm BUNDLE for computing the probability of queries from DISPONTE knowledge bases that follow the $\mathcal{ALC}$ semantics. BUNDLE exploits an underlying DL reasoner, such as Pellet, that is able to return explanations for queries. The explanations are encoded in a Binary Decision Diagram from which the probability of the query is computed. The experiments performed by applying BUNDLE to probabilistic knowledge bases show that it can handle ontologies of realistic size and is competitive with the system PRONTO for the probabilistic description logic P-$\mathcal{SHIQ}$(D).