An ontology-based knowledge framework for engineering material selection

作者: Yingzhong Zhang , Xiaofang Luo , Yong Zhao , Hong-chao Zhang

DOI: 10.1016/J.AEI.2015.09.002

关键词:

摘要: Engineering material selection intensively depends on domain knowledge. In the face of large number and wide variety engineering materials, it is very necessary to research develop an open, shared, scalable knowledge framework for implementing domain-oriented knowledge-based selection. this paper, fundamental concepts relationships involved in all aspects are analyzed detail. A novel ontology-based presented. The Semantic Web technology introduced into semantic representation implicit represented as a set labeled instances RDF instance graphs terms concept model, which provides formal approach organizing captured retrieval reasoning integrating ontology concepts, instances, rules, queries encoded with Query-enhanced Rule Language (SQWRL) proposed. presented can provide powerful services Finally, based framework, case study constructing mold system provided. This work new attempt build open shared

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