Semantic Web Service for Global Apparel Business

Semantic Web Service for Global Apparel Business

ISBN13: 9781522582236|ISBN10: 1522582231|ISBN13 Softcover: 9781522586234|EISBN13: 9781522582243
DOI: 10.4018/978-1-5225-8223-6.ch008
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MLA

Pal, Kamalendu. "Semantic Web Service for Global Apparel Business." Optimizing Current Strategies and Applications in Industrial Engineering, edited by Prasanta Sahoo, IGI Global, 2019, pp. 179-201. https://doi.org/10.4018/978-1-5225-8223-6.ch008

APA

Pal, K. (2019). Semantic Web Service for Global Apparel Business. In P. Sahoo (Ed.), Optimizing Current Strategies and Applications in Industrial Engineering (pp. 179-201). IGI Global. https://doi.org/10.4018/978-1-5225-8223-6.ch008

Chicago

Pal, Kamalendu. "Semantic Web Service for Global Apparel Business." In Optimizing Current Strategies and Applications in Industrial Engineering, edited by Prasanta Sahoo, 179-201. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-8223-6.ch008

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Abstract

Nowadays a substantial share of the production processes of the world's apparel business is taking place in developing countries. In the apparel business, supply chain coordination needs resource and information sharing between business partners. Semantic web service computing (SWSC) provides numerous opportunities and value-added service capabilities that global apparel business requires to exchange information between distributed business partners. The ability to dynamically discover and invoke a web service is an important aspect of semantic web service-based architectures. This chapter describes the main features of an ontology-based web service framework, known as CSIA (collaborative service integration architecture) for integrating distributed business information systems in a global supply chain. The CSIA framework uses a hybrid knowledge-based system, which consists of structural case-based reasoning (S-CBR), rule-based reasoning (RBR), and an ontology concept similarity assessment algorithm.

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