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Authors: Luca Mazzola ; Patrick Kapahnke ; Marko Vujic and Matthias Klusch

Affiliation: German Research Center for Artificial Intelligence (DFKI), Germany

ISBN: 978-989-758-203-5

Keyword(s): CDM-Core, Applied Ontology, Semantic Annotation, Knowledge Engineering, CREMA H2020 RIA Project, Ontology Quality Measurement.

Related Ontology Subjects/Areas/Topics: Applications and Case-studies ; Artificial Intelligence ; Business Process Management ; Data Engineering ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Ontology Sharing and Reuse ; Symbolic Systems

Abstract: Ontology engineering is known to be a complex, time-consuming, and costly process, in particular, if an ontology has to be developed from scratch, and respective domain knowledge has to be formally encoded. This paper presents the largest publicly available manufacturing ontology CDM-Core in the standard formal ontology language OWL2 (available at: http://sourceforge.net/projects/cdm-core/). The CDM-Core ontology has been developed within the European research project CREMA in close collaboration with the user partners in order to sufficiently cover the CREMA use case domains of metal press maintenance and automative exhaust production. CDM-Core makes use of many relevant standard vocabularies and ontologies, with only about one fifth of its size being CREMA use case specific. The practical applicability of CDM-Core for semantic annotation of domain-related process models, sensor data and services has been approved by the user partners, and its quality according to selected common cri teria of verification and validation was successfully evaluated. From the public release of the CDM-Core, we expect to cover the lack of a base common ontology for the manufacturing domain, thanks to feedbacks from industrial reuse and improvements from the community. (More)

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Paper citation in several formats:
Mazzola, L.; Kapahnke, P.; Vujic, M. and Klusch, M. (2016). CDM-Core: A Manufacturing Domain Ontology in OWL2 for Production and Maintenance.In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2016) ISBN 978-989-758-203-5, pages 136-143. DOI: 10.5220/0006056301360143

@conference{keod16,
author={Luca Mazzola. and Patrick Kapahnke. and Marko Vujic. and Matthias Klusch.},
title={CDM-Core: A Manufacturing Domain Ontology in OWL2 for Production and Maintenance},
booktitle={Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2016)},
year={2016},
pages={136-143},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006056301360143},
isbn={978-989-758-203-5},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2016)
TI - CDM-Core: A Manufacturing Domain Ontology in OWL2 for Production and Maintenance
SN - 978-989-758-203-5
AU - Mazzola, L.
AU - Kapahnke, P.
AU - Vujic, M.
AU - Klusch, M.
PY - 2016
SP - 136
EP - 143
DO - 10.5220/0006056301360143

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