Semantic matching of cloud resource service for user product design requirement

Abstract

Under the cloud manufacturing (CMfg) environment, a multilayer semantic matching model of design requirement and cloud service resource based on ontology was proposed to guarantee the rapid and accurate matching of resource services to meet the cloud user design requirement. First, the CMfg classification of demand and service was analyzed, and the ontology description was derived according to the service resource classification. From the aforementioned service resource classification, the multilayer matching model was established. The model included six matching stages, namely, base information matching, function information matching, state information matching, quality of service information matching, manufacturing capability information, and comprehensive matching. Then, the matching algorithm of each layer was quantitatively established and described to achieve intelligent matching of the service resource. Meanwhile, an improved analytic hierarchy process was presented to express the influence of each layer on its matching goal scientifically, ensuring that each affecting factor is reasonable. Finally, a case was used to prove the correctness and practicality of the proposed method.