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Annals of Data Science

Erschienen in:

17.10.2016

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

verfasst von: Chinta Someswara Rao, Adavi Balakrishna, MSVS Bhadri Raju, S. Viswanadha Raju

Erschienen in: Annals of Data Science | Ausgabe 4/2016

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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.

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Titel: A Frame Work for XML Ontology to STEP-PDM from Express Entities: A String Matching Approach
verfasst von: Chinta Someswara Rao
Adavi Balakrishna
MSVS Bhadri Raju
S. Viswanadha Raju
Publikationsdatum: 17.10.2016
Verlag: Springer Berlin Heidelberg
Erschienen in: Annals of Data Science / Ausgabe 4/2016
Print ISSN: 2198-5804
Elektronische ISSN: 2198-5812
DOI: https://doi.org/10.1007/s40745-016-0092-x

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