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A Framework to Data Integration for an Internet of Things Supporting Manufacturing Supply Chain Operation

A Framework to Data Integration for an Internet of Things Supporting Manufacturing Supply Chain Operation

Kamalendu Pal
Copyright: © 2021 |Pages: 18
ISBN13: 9781799866978|ISBN10: 1799866971|ISBN13 Softcover: 9781799866985|EISBN13: 9781799866992
DOI: 10.4018/978-1-7998-6697-8.ch011
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MLA

Pal, Kamalendu. "A Framework to Data Integration for an Internet of Things Supporting Manufacturing Supply Chain Operation." Advanced Concepts, Methods, and Applications in Semantic Computing, edited by Olawande Daramola and Thomas Moser, IGI Global, 2021, pp. 218-235. https://doi.org/10.4018/978-1-7998-6697-8.ch011

APA

Pal, K. (2021). A Framework to Data Integration for an Internet of Things Supporting Manufacturing Supply Chain Operation. In O. Daramola & T. Moser (Eds.), Advanced Concepts, Methods, and Applications in Semantic Computing (pp. 218-235). IGI Global. https://doi.org/10.4018/978-1-7998-6697-8.ch011

Chicago

Pal, Kamalendu. "A Framework to Data Integration for an Internet of Things Supporting Manufacturing Supply Chain Operation." In Advanced Concepts, Methods, and Applications in Semantic Computing, edited by Olawande Daramola and Thomas Moser, 218-235. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-6697-8.ch011

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Abstract

With the usage of the technologies like the internet of things (IoT) and Semantic Web service spanning across the spectrum of manufacturing, production, and distribution, typical supply chain management (SCM) systems depend on a multitude of services for operation purpose. The unprecedented growth of valuable data produced by decentralised information systems along the global manufacturing supply chain has led to a persuasive appeal for a semantic approach to integrating distributed data facilities in the field of collaborating logistic services. This technology combines a set of new mechanisms with grounded knowledge representation techniques to address the needs of formal information modelling and reasoning for web-based services. This chapter describes a framework, apparel business decentralised data integration (ABDDI), which exploits knowledge representation techniques and languages (e.g., description logics – DLs) to annotate relevant business activities. Finally, a simple business case is presented to demonstrate the framework's semantic similarity assessment functionality.

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