Methodology of Topic Maps creation and Semantic Web for technological information search regarding injection-mold based on Collaboration Hub

Topic Maps provide a fairly simple but very powerful meta-model for the representation of knowledge models. As a technology for implementation of semantic Web, topic maps characteristics are integration of distributed data and supporting of semantic based searching in order to find accurate information. For the feature of topic maps, we have to design ontology and deploy data properly in order to configure knowledge from information resource which exists inside specific domain. This paper describes a proposed methodology for creating Topic Maps. The methodology is designed for the development of an initial ontology for a Semantic Web, but can be adapted for other purposes. For creating topic maps using supported methodology, it described injection mold technology information based on ontology which is on the engineering collaboration hub. Tools for creating topic maps are introduced and it described converting data from injection mold technology information to Topic Map. Knowledge library on engineering collaboration hub of KITECH represented the example of Semantic Web for knowledge search of injection-mold technology information.