Improving the interoperability of industrial information systems with description logic-based models—The state of the art

► We propose a state-of-the-art analysis of ontology use in PLM applications. ► We examine ontology expressivity and reasoning capabilities, thus using an exhaustive example. ► We highlight limits of ontology-based languages to model PLM requirements. ► We propose research prospects involving reason...

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Veröffentlicht in:Computers in industry Jg. 64; H. 4; S. 363 - 375
Hauptverfasser: Fortineau, Virginie, Paviot, Thomas, Lamouri, Samir
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Kidlington Elsevier B.V 01.05.2013
Elsevier
Elsevier Sequoia S.A
Schlagworte:
Applied sciences
Artificial intelligence
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Description logic
Exact sciences and technology
Information systems
Information systems. Data bases
Interoperability
Learning and adaptive systems
Logical, boolean and switching functions
Mathematical models
Memory organisation. Data processing
Ontologies
Ontology
OWL
PLM
Product lifecycle management
Software
Studies
Theoretical computing
Web Ontology Language-OWL
PLM
Ontologies
Description logic
OWL
Standards
Knowledge engineering
Model-based reasoning
Software development
Ontology
Project management
Standardization
Web service
Review
Modeling
Interoperability
Semantic web
Life cycle
Structuration
Semantics
World wide web
Knowledge representation
Inference
Engineering design
Product development
Internet
ISSN:0166-3615, 1872-6194
Online-Zugang:Volltext
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Zusammenfassung:► We propose a state-of-the-art analysis of ontology use in PLM applications. ► We examine ontology expressivity and reasoning capabilities, thus using an exhaustive example. ► We highlight limits of ontology-based languages to model PLM requirements. ► We propose research prospects involving reasoning, IS architecture and methodology. Semantic technologies that have arisen with web development have brought out new tools, concepts, and methodologies which are increasingly employed in Product Lifecycle Management (PLM) applications. This paper proposes a literature review of papers related to ontologies in the area of product lifecycle management. However, it only focuses on inference ontologies, i.e. ontologies that enable reasoning, for instance, models expressed in the Web Ontology Language (OWL). The goals of this paper are to explore the field of such applications, to figure out the advantages of inference ontologies in a PLM context and to synthesize major existing inference models in terms of methodology and structuration. Finally, this paper proposes several research perspectives.
Bibliographie:SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:0166-3615
1872-6194
DOI:10.1016/j.compind.2013.01.001