Showing 101 - 120 results of 306 for search '"description logic"', query time: 0.10s Refine Results
  1. 101

    Description logic programs under probabilistic uncertainty and fuzzy vagueness by Lukasiewicz, T, Straccia, U

    Published 2009
    “…More concretely, we present probabilistic fuzzy description logic programs, which combine fuzzy description logics, fuzzy logic programs (with stratified default-negation), and probabilistic uncertainty in a uniform framework for the Semantic Web. …”
    Journal article
  2. 102

    A metamodel specification tool based on description logic and XML-DATA by Christophe Nicolle

    Published 2001-06-01
    “…Keywords: Cooperation, extensibility, metamodel, translators, description logic, xml-data.…”
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    Article
  3. 103
  4. 104

    A Comparison of Reasoning Techniques for Querying Large Description Logic ABoxes. by Motik, B, Sattler, U

    Published 2006
    “…Many modern applications of description logics (DLs) require answering queries over large data quantities, structured according to relatively simple ontologies. …”
    Journal article
  5. 105
  6. 106

    Tightly Integrated Probabilistic Description Logic Programs for Representing Ontology Mappings by Lukasiewicz, T, Predoiu, L, Stuckenschmidt, H

    Published 2011
    “…Furthermore, we explore the semantic and computational aspects of probabilistic description logic programs under the well-founded semantics. …”
    Journal article
  7. 107
  8. 108

    Tightly Integrated Probabilistic Description Logic Programs for Representing Ontology Mappings. by Calì, A, Lukasiewicz, T, Predoiu, L, Stuckenschmidt, H

    Published 2008
    “…We analyze the requirements for such a formalism, and we propose a novel approach to probabilistic description logic programs as such a formalism, which tightly combines disjunctive logic programs under the answer set semantics with both description logics and Bayesian probabilities. …”
    Journal article
  9. 109
  10. 110

    Consequence-based reasoning for description logics with disjunction, inverse roles, and nominals by Cucala, D, Cuenca Grau, B, Horrocks, I

    Published 2017
    “…We present a consequence-based calculus for the SHOI description logic. Known consequence-based reasoning procedures are either restricted to logics without nominals (e.g. …”
    Conference item
  11. 111

    Tightly Integrated Probabilistic Description Logic Programs for Representing Ontology Mappings by Calì, A, Lukasiewicz, T, Predoiu, L, Stuckenschmidt, H

    Published 2008
    “…We analyze the requirements for such a formalism, and we propose a novel approach to probabilistic description logic programs as such a formalism, which tightly combines disjunctive logic programs under the answer set semantics with both description logics and Bayesian probabilities. …”
    Conference item
  12. 112
  13. 113

    Description Logic Reasoning with Decision Diagrams: Compiling SHIQ to Disjunctive Datalog. by Rudolph, S, Krötzsch, M, Hitzler, P

    Published 2008
    “…We propose a novel method for reasoning in the description logic . After a satisfiability preserving transformation from to the description logic , the obtained Tbox is converted into an ordered binary decision diagram (OBDD) which represents a canonical model for . …”
    Journal article
  14. 114

    Pay-as-you-go consequence-based reasoning for the description logic SROIQ by Tena Cucala, D, Cuenca Grau, B, Horrocks, I

    Published 2021
    “…Consequence-based (CB) reasoners combine ideas from resolution and (hyper)tableau calculi for solving key reasoning problems in Description Logics (DLs), such as ontology classification. …”
    Journal article
  15. 115

    Complexity of Subsumption in the EL Family of Description Logics: Acyclic and Cyclic TBoxes by Haase, C, Lutz, C

    Published 2008
    “…We perform an exhaustive study of the complexity of subsumption in the EL family of lightweight description logics w.r.t. acyclic and cyclic TBoxes. It turns out that there are interesting members of this family for which subsumption w.r.t. cyclic TBoxes is tractable, whereas it is EXPTIME-complete w.r.t. general TBoxes. …”
    Conference item
  16. 116

    Probabilistic Description Logic Programs under Inheritance with Overriding for the Semantic Web by Lukasiewicz, T

    Published 2008
    “…<p>Towards uncertainty reasoning in the Rules, Logic, and Proof layers of the Semantic Web, we present a novel approach to probabilistic description logic programs, which combine probabilistic logic programs, probabilistic default theories, and the description logics behind OWL Lite and OWL DL. …”
    Journal article
  17. 117

    Fuzzy extensions of OWL: Logical properties and reduction to fuzzy description logics by Stamou, J

    Published 2010
    “…OWL is based on Description Logics which is a popular knowledge representation formalism. …”
    Journal article
  18. 118
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  20. 120

    Tightly integrated probabilistic description logic programs for representing ontology mappings. by Lukasiewicz, T, Predoiu, L, Stuckenschmidt, H

    Published 2011
    “…Furthermore, we explore the semantic and computational aspects of probabilistic description logic programs under the well-founded semantics. …”
    Journal article