BibSonomy publications for /concept/tag/description+logicsMon Jul 07 16:45:32 CEST 2008The Description Logic Handbook: Theory, Implementation and Applications2003description logics Mon Jul 07 16:45:32 CEST 2008Proc. IJCAR Workshop on Precise Modelling and Deduction for Object-oriented Software Development (PMD)Reasoning on {U}{M}{L} Class Diagrams in Description Logics2001logics UML, description Mon Jul 07 16:45:32 CEST 2008{U}{M}{L} 2003 - The Unified Modeling Language326--340Using Description Logics to Maintain Consistency Between {U}{M}{L} Models28632003maintenance, logics consistency description UML, Wed May 28 14:50:04 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSFinite model reasoning in DL-Lite2008description complexity logics computational reasoning formal-languages-2 ontologies The semantics of OWL-DL and its subclasses are based on the classical semantics of first-order logic, in which the interpretation domain may be an infinite set. This constitutes a serious expressive limitation for such ontology languages, since, in many real application scenarios for the Semantic Web, the domain of interest is actually finite, although the exact cardinality of the domain is unknown. Hence, in these cases the formal semantics of the OWL-DL ontology does not coincide with its intended semantics. In this paper we start filling this gap, by considering the subclasses of OWL-DL which correspond to the logics of the DL-Lite family, and studying reasoning over finite models in such logics. In particular, we mainly consider two reasoning problems: deciding satisfiability of an ontology, and answering unions of conjunctive queries (UCQs) over an ontology. We first consider the description logic DL-Lite_R and show that, for the two above mentioned problems, finite model reasoning coincides with classical reasoning, i.e., reasoning over arbitrary, unrestricted models. Then, we analyze the description logics DL-Lite_F and DL_Lite_A. Differently from DL-Lite_R, in such logics finite model reasoning does not coincide with classical reasoning. To solve satisfiability and query answering over finite models in these logics, we define techniques which reduce polynomially both the above reasoning problems over finite models to the corresponding problem over arbitrary models. Thus, for all the DL-Lite languages considered, the good computational properties of satisfiability and query answering under the classical semantics also hold under the finite model semantics. Moreover, we have effectively and easily implemented the above techniques, extending the DL-Lite reasoner QuOnto with support for finite model reasoning.Wed May 28 14:49:55 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSMapping Validation by Probabilistic Reasoning2008probabilistic matching logics mapping description formal-languages-1 reasoning ontology In the semantic web environment, where two or more independent ontologies can be used in order to describe knowledge and data, ontologies have to be aligned by defining mappings among the elements of one ontology and the elements of another ontology. Very often, mappings are not derived by the semantics of the ontologies that are compared, but, rather, by an evaluation of the similarity of the terminology used in the two ontologies or of their syntactic structure. Moreover, ontology mappings can be inaccurate, because ontology matching tools derive such mappings from inaccurate terminology or even because they are not specifically tailored for the domain at hand. In this paper, we propose a new mapping validation approach for interpreting similarity-based mappings as semantic relations, by coping also with inaccuracy situations. The idea is to see two independent ontologies as a unique distributed knowledge base and to assume a semantic interpretation of ontology mappings as probabilistic and hypothetical relations among ontology elements. We present and use a probabilistic reasoning tool in order to validate mappings and to possibly infer new relations among the ontologies.Fri Mar 28 12:11:30 CET 2008IJCAIconf/ijcai/2007230-235Completing Description Logic Knowledge Bases Using Formal Concept Analysis.2007FCA fca description OntologyHandbook formal dl logics analysis concept Fri Mar 28 10:21:21 CET 2008DECDissertationRelational Exploration - Combining Description Logics and Formal Concept Analysis for Knowledge Specification2006concept formale exploration dl description begriffsanalyse attribute logics fca analysis relational formal Wed Sep 26 10:37:27 CEST 2007The Description Logic Handbook: Theory, Implementation and Applications2003description logics Wed Sep 26 10:37:27 CEST 2007Proc. Int'l Workshop on Description Logics (DL)SeptemberDetecting inconsistencies between {U}{M}{L} models using description logic2003logics description UML Wed Sep 26 10:37:27 CEST 2007Proc. Int'l Workshop on Description Logics (DL)Using Description Logic in Object-Oriented Software Development2002logics description object-oriented UML Wed Sep 26 10:37:27 CEST 2007Proc. IJCAR Workshop on Precise Modelling and Deduction for Object-oriented Software Development (PMD)Reasoning on {U}{M}{L} Class Diagrams in Description Logics2001description logics UML Wed Sep 26 10:37:27 CEST 2007{U}{M}{L} 2004 - The Unified Modeling LanguageOctober305--319Lecture Notes in Computer ScienceSupporting Model Refactorings through Behaviour Inheritance Consistencies32732004description maintenance development software management inconsistency refactoring UML logics model-driven consistency Wed Sep 26 10:37:27 CEST 2007{U}{M}{L} 2003 - The Unified Modeling Language326--340Lecture Notes in Computer ScienceUsing Description Logics to Maintain Consistency Between {U}{M}{L} Models28632003maintenance consistency description UML logics Tue Sep 25 21:44:52 CEST 2007Proc. Int'l Workshop on Description Logics (DL)SeptemberDetecting inconsistencies between {U}{M}{L} models using description logic2003logics description UML Tue Sep 25 21:44:52 CEST 2007Proc. Int'l Workshop on Description Logics (DL)Using Description Logic in Object-Oriented Software Development2002logics description UML object-oriented Tue Sep 25 21:44:52 CEST 2007{U}{M}{L} 2004 - The Unified Modeling LanguageOctober305--319Lecture Notes in Computer ScienceSupporting Model Refactorings through Behaviour Inheritance Consistencies32732004development UML model-driven logics description management inconsistency software consistency refactoring maintenance Tue Sep 25 21:44:52 CEST 2007S\'erie L'objet - logiciel, base de donn\'ees, r\'eseaux2-3231-244Maintaining Consistency between {U}{M}{L} Models Using Description Logic102004UML consistency model description logics inconsistency Tue Sep 25 21:44:52 CEST 2007{U}{M}{L} 2003 - The Unified Modeling Language326--340Lecture Notes in Computer ScienceUsing Description Logics to Maintain Consistency Between {U}{M}{L} Models28632003maintenance consistency description logics UML Thu Aug 30 16:42:18 CEST 2007IJCAIconf/ijcai/2007230-235Completing Description Logic Knowledge Bases Using Formal Concept Analysis2007dl description logics concept formal fca analysis Tue Aug 07 11:33:02 CEST 2007Proceedings of the 11th International Conference on Conceptual Structures (ICCS 2003)DBLP:conf/iccs/200396-116Description Logics for Ontologies2003iccs dl 2003 logics description ontology