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Title: Semantic reconciliation across design and manufacturing knowledge models: a logic-based approach
Authors: Chungoora, Nitishal
Young, R.I.M.
Keywords: Common Logic
Design and manufacture
Heavyweight ontology
Ontology alignment
Ontology mapping
Issue Date: 2011
Publisher: © IOS Press and The Authors
Citation: CHUNGOORA, N. and YOUNG, R.I.M., 2011. Semantic reconciliation across design and manufacturing knowledge models: a logic-based approach. Applied Ontology, 6 (4), pp. 295 - 315.
Abstract: Ontology-based models of product design and manufacture are becoming increasingly important in the effort towards achieving interoperability among various stakeholders within and across product lifecycle systems. However, in the eventuality of having to interoperate between multiple ontology-based models, with the intention of sharing knowledge among them, the process still remains a difficult one. Although the concept of ontology mapping/matching has been developed as a means to interoperate across ontology-based models, yet the concept has remained relatively weak in terms of its ability to enable the formalization and verification of cross-model semantic correspondences in design and manufacture. In this paper, improved concepts to achieve semantic reconciliation are being investigated in the context of the Semantic Manufacturing Interoperability Framework (SMIF). The approach uses a Common Logic-based underpinning for enabling the evaluation and verification of cross-model correspondences. The approach has been successfully tested by applying the relevant logic-based mechanisms, in order to show the reconciliation of two individually developed knowledge models. Through this, it has been demonstrated that the approach enables semantic reconciliation of important structures within ontology-based models of design and manufacture. © 2011-IOS Press and the authors. All rights reserved.
Description: This article was published in the journal, Applied Ontology [© IOS Press and The Authors]. The definitive version is available at: http://dx.doi.org/10.3233/AO-2011-0092
Sponsor: The work developed in this paper has been supported through a research studentship funded by the Wolfson School of Loughborough University. We also wish to thank the EPSRC, who are funding the majority of our work on Interoperable Manufacturing Knowledge Systems (IMKS) under project 253 of the Loughborough University Innovative Manufacturing and Construction Research Centre.
Version: Accepted for publication
DOI: 10.3233/AO-2011-0092
URI: https://dspace.lboro.ac.uk/2134/17392
Publisher Link: http://dx.doi.org/10.3233/AO-2011-0092
ISSN: 1570-5838
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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