Improving Engineering Data Management with Semantic Web Techniques

Abstract

Throughout the IT communities, it has been acknowledged that ontology plays a key role in representation and reuse of knowledge. This paper discusses some issues of ontology construction for engineering data management, such as knowledge discovery, knowledge representation and semantic services. All discussions are followed by a running ex-ample of engineering data management. Based on the user needs with five phases of engineering design, the issue of knowledge discovery will be presented. The built knowledge base contains basic knowledge models and vocabularies for knowledge integration. With the semantics of semistructured data, the hierarchical relations of concepts in engi-neering data have been extracted for reuse in future engineering design based on some clustering techniques of data mining. Semantic services for engineering design will be provided with the ontology-based schema

Personalized Multimedia Integration for the Heterogeneous Museum Systems Using the Ontology Mapping Approach

“…The ontology defines a common vocabulary explicitly without any ambiguity so that both human and computer or software agent can understand and share information in a domain. One may consider to use ontology as an unified knowledge model for knowledge representation and vocabularies [4]. Hence, the semantic conflicts of information can be solved and the computer or software agent is able to search for the synonymous terms with similar meaning.…”