Semantic Web Based To Support Supply Chain Management
Lily Wulandari, I Wayan Simri Wicaksana · 2006
Increasing implementation of information technology in the manufacturing environment can be considered in all line of manufacture. Internet introduced heterogeneity of information, such as between supplier and client. The heterogeneity can be data format, representation, and accessing of information. One of starting point in supply chain management is matching process between suppliers and requirement of a manufacture. However, heterogeneity deliver a problem to match between supply and demand, such as different concept of requirement, such as concept 'RAM', 'warehouse', and 'container' in general meaning is place to save something. Semantic Web and ontology can be considered as an approach to overcome the problem of matching in supply chain management. Discovery and interoperability among parties of information sources in dynamic, open and heterogeneity environment can be improved by the approach. Semantic web is to enhance understanding of meaning between machine-machine and machinehuman. Ontology can be applied as a medium to reduce semantic diversity. Semantic interoperability in our approach will based on semantic similarity by using label matching enhanced by internal and external structure comparison. Key Word: information heterogeneity, information interoperability, ontology, semantic web, supply chain management.