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

Author:

Pal Kamalendu1ORCID

Affiliation:

1. City, University of London, UK

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.

Publisher

IGI Global

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