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A Frame Work for XML Ontology to STEP-PDM from Express Entities: A String Matching Approach

Author

Listed:
  • Chinta Someswara Rao

    (SRKR Engineering College)

  • Adavi Balakrishna

    (SRKR Engineering College)

  • MSVS Bhadri Raju

    (SRKR Engineering College)

  • S. Viswanadha Raju

    (JNTUHCEJ, JNT University Hyderabad)

Abstract

Recent advances in web and information technologies have resulted in many Engineering Enterprises. There is an emerging requirement to share, manage and reuse relevant resources together to achieve on-demand resource management in the internet like environment. Ontologies have become a key technology for enabling semantic-driven resource management. Achieving this interoperability is a necessary element of realizing the enterprises vision of interoperability across all the enterprise services. This paper describes PDM-string matching approach for Extensible Markup Language (XML) of STandard for Exchange of Product (STEP) model data, invented to capture data structure, content, and semantics in a targeted engineering industry design domain. The ontology was created using the World Wide Web (WWW) consortium emerging standard called XML Schema using JAVA based Product Data Management (PDM)-string matching process which increases the potentiality. The resulting STEP-PDM ontology could become a standard, shared data vocabulary as a step toward achieving data interoperability for engineering domains.

Suggested Citation

  • Chinta Someswara Rao & Adavi Balakrishna & MSVS Bhadri Raju & S. Viswanadha Raju, 2016. "A Frame Work for XML Ontology to STEP-PDM from Express Entities: A String Matching Approach," Annals of Data Science, Springer, vol. 3(4), pages 469-507, December.
    • Handle: RePEc:spr:aodasc:v:3:y:2016:i:4:d:10.1007_s40745-016-0092-x
    DOI: 10.1007/s40745-016-0092-x
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    References listed on IDEAS

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    1. Yongxin Liao & Mario Lezoche & Hervé Panetto & Nacer Boudjlida, 2016. "Semantic annotations for semantic interoperability in a product lifecycle management context," International Journal of Production Research, Taylor & Francis Journals, vol. 54(18), pages 5534-5553, September.
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