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Authors
A. Tursi; H. Panetto; G. Morel; M. Dassisti

Digital Object Identifier (DOI)
10.3182/20071002-MX-4-3906.00015

Page Numbers:
85-93

Index Terms
enterprise integration and networking,interoperability,product data management,ontology

Abstract
Standardisation initiatives (ISO and IEC) try to answer the problem of managing heterogeneous information, scattered within organizations, by formalising the knowledge related to products technical data. While the product is the centred object from which, along its life cycle, all enterprise systems, either inside a single enterprise or between cooperating networked enterprises, have a specific view, we may consider it as active as far as it participates to the decisions making by providing knowledge about itself. This paper proposes a novel approach, postulating that the product, represented by its technical data, may be considered as interoperable per se with the many applications involved in manufacturing enterprises as far as it embeds knowledge about itself, as it stores all its technical data, provided that these are embedded on a common model. The matter of this approach is to formalise of all technical data and concepts contributing to the definition of a Product Ontology, embedded into the product itself and making it interoperable with applications, minimising loss of semantics.

References

[1] Baïna, S. (2006). Interoperabilite Dirigee par les
    Modeles : Une Approche Orientée Produit pour
    l'interopérabilité des systèmes d'entreprise. Thèse
    de doctorat de l'Université Henri Poincaré, Nancy
    I, France. Décembre 2006.
[2] Calvanese D., De Giacomo G., and Lenzerini M.
    (2002). Description logics for information
    integration. In Computational Logic: From Logic
    Programming into the Future (In honour of Bob
    Kowalski), Lecture Notes in Computer Science.
    Springer Verlag, 2002.
[3] Dassisti M., Panetto H., Tursi A. (2006). Product-driven
     Enterprise Interoperability for
    Manufacturing Systems Integration. Proceedings
    of the BPM2006 Business Process Management
    Workshops. 2nd ENEI Workshop, Vienna,
    Austria, September 4. Springer Verlag, Lecture
    Notes in Computer Science, September, LNCS
    4103, 249-260.
[4] IEC 62264 Enterprise-control system integration, Part
    1. Models and terminology, Part 2: Model object
    attributes. ISO/IEC, 2002, Geneva.
[5] IEEE (1990), Standard Computer Dictionary- A
    Compilation of IEEE Standard Computer
    Glossaries. NY. 610-1990. ISBN: 1559370793
[6] ISO/CD TS 10303-25 Industrial automation systems
    and integration - Product data representation and
    exchange - Implementation methods: EXPRESS to
    XMI binding, 2003, Geneva.
[7] ISO/TS 10303 STEP modules related to Product Data
    Management. Industrial automation systems and
    integration - Product data representation and
    exchange, 2004, Geneva.
[8] Gehre A., Katranuschkov P., Stankovski V., Scherer
    R. J. (2005), Towards semantic interoperability in
    virtual organisations, In: Proc. 22nd Conference of
    Information Technology in Construction, cibW78,
    Dresden, Germany (July 18-21 2005).
[9] Gruber T. R. (1993). Toward principles for the design
    of ontologies used for knowledge sharing. In
    Formal Ontology in Conceptual Analysis and
    Knowledge Representation (N. Guarino and R.
    Poli, eds.), Kluwer Academic Publishers.
[10] Gruninger M., Lee J. (2002). Ontology -- applications
     and design, In: Communications of the ACM 45/2,
     39-41.
[11] Guo M., Li S., Dong J., Fu X., Hu Y., Yin Q. (2003).
     Ontology-based product data integration, In: Proc.
     17th International Conference on Advanced
     Information Networking and Applications; ISBN
     0-7695-1906-7, 530-533.
[12] Katranuschkov P., Gehre A., Scherer R. (2003), An
     ontology framework to access IFC model data, In:
     ITcon; 8, 413-437.
[13] Lima C., Silva C. F., Sousa P., Pimentao J. P. (2005),
     Interoperability among semantic resources in
     construction: is it feasible?, In: Proc. 22nd
     Conference of Information Technology in
     Construction, cibW78, Dresden, Germany (July
     18-21 2005).
[14] Liu D. T., Xu X. W. (2001). A review of web-based
     product data management systems. In: Computer
     In Industry; 44, 251-262.
[15] Maier M. W. (1998). Architecting Principles for
     Systems-of-Systems, In: Systems Engineering, 1/4,
     267-284.
[16] Morel G., Panetto H., Zaremba M. B., Mayer F. (2003).
     Manufacturing Enterprise Control and
     Management System Engineering: paradigms and
     open issues. In: IFAC Annual Reviews in Control.
     27/2, 199-209, Elsevier.
[17] Morel G., Auzelle J. P., Mayer F., Panetto H. (2007).
     System of enterprise-Systems integration issues:
     an engineering perspective. Invited survey paper.
     in this issue.
[18] Patil L., Dutta D., Sriram R. (2005), Ontology-based
     exchange of product data semantics, In: IEEE
     Transactions of Automation Science and
     Engineering; 2, 213-225.
[19] Terzi S. (2005). Elements of Product Lifecycle
     Management: Definitions, Open Issues and
     Reference Models, PhD Dissertation, UHP Nancy
     I, Politecnico di Milano.
[20] Terzi S., Panetto H., Morel G., Garetti M. (2007). A
     holonic metamodel for product lifecycle
     management. International Journal of Product
     Lifecycle Management, 2/2, ISBN 1743-5110.