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A Semantic Web-Based Systems Integration to Enhance the Quality of Supply Chain Management
Abstract
Recent Semantic Web Technology developments indicate possible advancements in supply chain management. In particular, the innovative business process automation based on SWT attracted much interest from the logistics, manufacturing, packing, and transportation industries. 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 provides a high-level summary of SWT to help better understand this technology's impact on broader enterprise information architectures. In many cases, it also reuses familiar concepts with a new twist. For example, "ontologies" for "data dictionaries" and "semantic model" for "data model." This chapter presents the usefulness of a proposed architecture by applying theory to integrating data from multiple heterogeneous sources, which entails dealing with semantic mapping between source schema and Resource Description Framework (RDF) ontology, which are described declaratively using a specific query language (i.e., SPARQL) queries. Finally, the semantics of query rewriting are further discussed, and a query rewriting algorithm is presented.
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