Tightly integrated probabilistic description logic programs for representing ontology mappings

DOI10.1007/s10472-012-9280-3zbMath1242.68090OpenAlexW2029294635MaRDI QIDQ429437

Thomas Lukasiewicz, Livia Predoiu, Heiner Stuckenschmidt

Publication date: 19 June 2012

Published in: Annals of Mathematics and Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10472-012-9280-3

zbMATH Keywords

uncertaintydata integrationwell-founded semanticslogic programsinconsistencydescription logicsdatabasesontologiessemantic webanswer set semanticsdescription logic programsontology mappingsprobabilistic logics

Mathematics Subject Classification ID

Database theory (68P15) Logic in artificial intelligence (68T27) Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35) Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.) (68U35)

Related Items (2)

Probabilistic entailment in the setting of coherence: the role of quasi conjunction and inclusion relation ⋮ On the complexity of propositional and relational credal networks

Uses Software

• BayesOWL

Cites Work

• Unnamed Item
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• Probabilistic description logic programs
• Dualities between alternative semantics for logic programming and nonmonotonic reasoning
• The independent choice logic for modelling multiple agents under uncertainty
• Expressive probabilistic description logics
• Combining answer set programming with description logics for the semantic web
• Tractable reasoning and efficient query answering in description logics: The DL-Lite family
• Towards Top-k Query Answering in Description Logics: The Case of DL-Lite
• Tightly Coupled Probabilistic Description Logic Programs for the Semantic Web
• The well-founded semantics for general logic programs
• Logical foundations of object-oriented and frame-based languages
• ADDING PROBABILITIES AND RULES TO OWL LITE SUBSETS BASED ON PROBABILISTIC DATALOG
• Logics in Artificial Intelligence
• Tightly Integrated Probabilistic Description Logic Programs for Representing Ontology Mappings
• Linking Data to Ontologies

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