Common intelligent semantic matching engines of cloud manufacturing service based on OWL-S

In order to improve the practicability of the search engine of cloud manufacturing platform in small- and medium-sized enterprises (SMEs), the paper studied the matching process’ diversity, heterogeneity, and multi-constraints between the intelligent matching engine and cloud manufacturing (CMfg) service, then established an intelligent searching engine of CMfg service in SMEs which is based on ontology language for service (OWL-S), and analyzed its matching degree quantization problems of matching process between ontology concept parameters and constraint parameters. To verify its validity, we have applied it in automobile/motorcycle accessory industry. By combining a quantization method, a matching algorithm and semantic similarity, an automobile/motorcycle accessory ontology database is established. It has fulfilled the semantic inference of the service resources ontology and has realized the valid and rapid intelligent matching of cloud searching.

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