Multi-Viewpoints Ontological Knowledge Representation: A Fuzzy Description Logics Based Approach

Description Logics (DLs) play a key role in the design of ontologies. An ontology is a formal description of important concepts in a particular domain. In practice, a set of a specific-domain applications use different representations of the same real world entity due to various viewpoints, context, and specific interest. In this paper, we are interested in the problem of representing an ontology in a heterogeneous domain by taking into consideration different viewpoints and different terminologies of various users, groups or even communities in the organisation. This type of ontology, called multi-viewpoints ontology, confers to the same universe of discourse, several partial descriptions, where each one is relative to a particular viewpoint. Moreover, these partial descriptions share at global level, fuzzy ontological elements allowing the representation of vague/imprecise knowledge between the various viewpoints. So, our goal is to propose a fuzzy multi-viewpoints ontology Web language, which is an extension of OWL-DL language, to allow the multi-viewpoints ontologies representation.

[1]  Mahmoud Boufaïda,et al.  The Viewpoint Mechanism for Object-oriented Databases Modelling, Distribution and Evolution , 2007, J. Comput. Inf. Technol..

[2]  Daniel Sánchez,et al.  Fuzzy quantification in fuzzy description logics , 2006, Fuzzy Logic and the Semantic Web.

[3]  Frank van Harmelen,et al.  Web Ontology Language: OWL , 2004, Handbook on Ontologies.

[4]  Ian Horrocks,et al.  FaCT++ Description Logic Reasoner: System Description , 2006, IJCAR.

[5]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[6]  Umberto Straccia,et al.  Fuzzy Ontology Representation using OWL 2 , 2010, Int. J. Approx. Reason..

[7]  Frank van Harmelen,et al.  Web Ontology Language , 2004 .

[8]  Zizette Boufaïda,et al.  Towards a representation for multi-viewpoints ontology alignments , 2014, Int. J. Metadata Semant. Ontologies.

[9]  Zizette Boufaïda,et al.  Multi-viewpoint ontological representation of composite concepts: a description logics-based approach , 2017, Int. J. Intell. Inf. Database Syst..

[10]  Yarden Katz,et al.  Pellet: A practical OWL-DL reasoner , 2007, J. Web Semant..

[11]  Elie Sanchez,et al.  Fuzzy Logic and the Semantic Web (Capturing Intelligence) , 2006 .

[13]  Mounir Hemam An extension of the ontology web language with multi-viewpoints and probabilistic reasoning , 2018, Int. J. Adv. Intell. Paradigms.

[14]  Giorgos Stoilos,et al.  Extending Fuzzy Description Logics for the Semantic Web , 2007, OWLED.

[15]  Stefano Spaccapietra,et al.  Modelling geographic data with multiple representations , 2004, Int. J. Geogr. Inf. Sci..

[16]  Umberto Straccia,et al.  Foundations of Fuzzy Logic and Semantic Web Languages , 2013, CILC.

[17]  Manuel P. Cuéllar,et al.  A fuzzy ontology for semantic modelling and recognition of human behaviour , 2014, Knowl. Based Syst..

[18]  E. Herrera-Viedma,et al.  A new consensus model for group decision making using fuzzy ontology , 2013, Soft Comput..