Abstract : Ever growing complexity of the information domains that are relevant for product life cycle management is pushing researchers to invest efforts into creating an abstract modelling techniques in order to structure the available knowledge. Ontology showed to be a convenient method for build such structures and number of domain specific ontologies has been developed in recent years. In this paper, we propose a meta-modelling approach that provides a guided, step-by-step solution for ontology design. Contribution is tested through an example of ontology for predictive maintenance.
IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2016, Iguassu Falls, Brazil. IFIP Advances in Information and Communication Technology, AICT-488, pp.214-224, 2016, Advances in Production Management Systems. Initiatives for a Sustainable World. 〈10.1007/978-3-319-51133-7_26〉
https://hal.inria.fr/hal-01615733
Contributeur : Hal Ifip
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Soumis le : jeudi 12 octobre 2017 - 16:40:35
Dernière modification le : vendredi 1 décembre 2017 - 01:17:11
Ana Milicic, Dimitris Kiritsis, Nesat Efendioglu. From English to RDF - A Meta-Modelling Approach for Predictive Maintenance Knowledge Base Design. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2016, Iguassu Falls, Brazil. IFIP Advances in Information and Communication Technology, AICT-488, pp.214-224, 2016, Advances in Production Management Systems. Initiatives for a Sustainable World. 〈10.1007/978-3-319-51133-7_26〉. 〈hal-01615733〉
