PR-OWL - a language for defining probabilistic ontologies

DOI10.1016/j.ijar.2017.08.011zbMath1419.68141OpenAlexW2747747587MaRDI QIDQ1679648

Kathryn B. Laskey, Paulo C. G. Costa, Rommel N. Carvalho

Publication date: 21 November 2017

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2017.08.011

zbMATH Keywords

probabilistic reasoningsemantic webmulti-entity Bayesian networkPR-OWLprobabilistic ontologystatistical relational models

Mathematics Subject Classification ID

Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (5)

Editorial. Special issue on ``Uncertainty reasoning for the web ⋮ Statistical \(\mathcal{EL}\) is \textsc{ExpTime}-complete ⋮ The finite model theory of Bayesian network specifications: descriptive complexity and zero/one laws ⋮ Certain information granule system as a result of sets approximation by fuzzy context ⋮ PR-OWL

Uses Software

• MEBN
• BUGS
• IBAL
• BLOG
• UnBBayes
• BayesOWL

Cites Work

• An analysis of first-order logics of probability
• Probabilistic description logic programs
• Probabilistic Horn abduction and Bayesian networks
• The independent choice logic for modelling multiple agents under uncertainty
• MEBN: a language for first-order Bayesian knowledge bases
• Expressive probabilistic description logics
• Soft computing in ontologies and semantic web.
• Markov Logic: An Interface Layer for Artificial Intelligence
• 10.1162/jmlr.2003.3.4-5.679
• ADDING PROBABILITIES AND RULES TO OWL LITE SUBSETS BASED ON PROBABILISTIC DATALOG
• Logic Programming
• First-Order Probabilistic Languages: Into the Unknown
• Tightly Integrated Probabilistic Description Logic Programs for Representing Ontology Mappings
• New Advances in Logic-Based Probabilistic Modeling by PRISM
• f-SWRL: A Fuzzy Extension of SWRL

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