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Title: Towards a meaningful manufacturing enterprise metamodel: a semantic driven framework
Authors: Neaga, Elena I.
Harding, Jennifer A.
Lin, H.K.
Keywords: Enterprise engineering
Manufacturing system engineering (MSE) ontological model
Ontology definition metamodel (ODM)
Extended enterprise common warehouse metamodel (EE_CWM)
Manufacturing enterprise metamodel (ME_M)
Issue Date: 2007
Publisher: Professional Engineering Publishing / © IMechE
Citation: NEAGA, E.I., HARDING, J.A. and LIN, H-K., 2007. Towards a meaningful manufacturing enterprise metamodel: a semantic driven framework. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 221 (3), pp. 499-511.
Abstract: This paper presents a deep investigation and an interdisciplinary analysis of the collaborative networked enterprise engineering issues and modelling approaches related to the relevant aspects of the semantic web technology and knowledge strategies. The paper also suggests a novel framework based on ontology metamodelling, knowledge model discovery, and semantic web infrastructures, architectures, languages, and systems. The main aim of the research enclosed in this paper is to bridge the gaps between enterprise engineering, modelling, and especially networking by intensively applying semantic web technology based on ontology conceptual representations and knowledge discovery. The ontological modelling approaches together with knowledge strategies such as discovery (data mining) have become promising for future enterprise computing systems. The related reported research deals with the conceptual definition of a semantic-driven framework and a manufacturing enterprise metamodel (ME_M) using ontology, knowledge-driven object models, standards, and architectural approaches applied to collaborative networked enterprises. The conceptual semantic framework and related issues discussed in this paper may contribute towards new approaches of enterprise systems engineering and networking as well as applied standard and referenced ontological models.
Description: This is an article from the journal, Proceedings of the IMechE, Part B: Journal of Engineering Manufacture [© IMechE]. It is also available at: http://journals.pepublishing.com/content/119784/?p=710e956435344e5bb554ce59223c763c&pi=0
Version: Published
DOI: 10.1243/09544054JEM503
URI: https://dspace.lboro.ac.uk/2134/4675
ISSN: 0954-4054
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)
Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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