Construction and Implementation of Matter-Element Matching Model for Research and Development Tasks and Resources

To accurately and efficiently match tasks and resources in the R & D process of complex products, a model using matter-elements is proposed. In the model, ontologies are established to provide a unified description of task and resource information. According to the concepts of extension engineering, the matter-elements of R & D tasks and resources are established by extracting key information from the obtained ontology instances. The methods of calculating the authenticity degree, extension distance, and correlation degree for different types of features are discussed; the matching problem between tasks and resources is converted to a calculation of the matching degree of related features. A cascade matching method is used to calculate the matching degrees between the task and resource matter-elements. The resources were selected from different perspectives to obtain the optimal matching scheme. The proposed model and method were verified through a case study.