Workflow Model Recommendation Approach Based on a Design Information Model
| Autor: | Hui Wang, Gaocai Fu, Ruiping Luo, Xincheng Lu, Buyun Sheng |
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| Rok vydání: | 2019 |
| Předmět: |
recommendation
Structure (mathematical logic) General Computer Science Product design Computer science General Engineering Design information Ontology (information science) computer.software_genre Workflow Similarity (network science) workflow model General Materials Science Weight ontology lcsh:Electrical engineering. Electronics. Nuclear engineering Data mining Linear combination similarity lcsh:TK1-9971 computer Selection (genetic algorithm) |
| Zdroj: | IEEE Access, Vol 7, Pp 159622-159634 (2019) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2019.2950425 |
| Popis: | To overcome the difficulty of workflow model selection in product design and the lack of a uniform description of product design quality information, this paper proposes a workflow model recommendation (WfMR) approach based on a design information model for product design process recommendation. By studying the design information of design documents in a workflow, an ontology-based hierarchical workflow design information ontology model (WfDOM) is established and visualized. Aiming to determine the common characteristics of WfDOM ontology instance nodes at the element level and structure level, this research studies similarity algorithms at the ontology element level and structure similarity algorithms. Based on the above research, a linear combination design information similarity integration strategy is proposed. At the same time, to find the optimal weight vector, a weight vector search approach based on workflow model selection history is studied, and the effectiveness of the proposed design information similarity algorithm is verified by an example. |
| Databáze: | OpenAIRE |
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