Research On Key Techniques For Process Knowledge Management Based On Ontology

With the change of the social economy from an industrial economy to a knowledge economy, the knowledge is becoming the most active and important factor in the productivity. Knowledge management, as a new management theory and management methods, has emerged and became an important area of research. In manufacturing enterprises, process knowledge is an important part of enterprise knowledge, and the process knowledge management is the important means and assurance for the enterprise to improve production efficiency, reduce the consumption, and develop the production. In order to give full play to the role of the process knowledge in the enterprise production, and to achieve the real-time sharing and use of knowledge and its innovation, this dissertation, with the combination of characteristics of process knowledge, did an investigation on related technologies of the process knowledge in three aspects, i.e. process knowledge representation, process knowledge retrieval and process knowledge mining. The results of this research intend to lay a theoretical foundation to achieve the accumulation of process knowledge, promote the systematic and standardization management, and efficient utilization of the process knowledge.Regarding the complexity, implication, diversity and dynamic features of process knowledge, a process knowledge management ontology-based system framework was put forward. The system function model was established, with the main function given to knowledge retrieval, knowledge maintenance, knowledge learning, knowledge exchanges and knowledge mining and user management. Centered around the production process and knowledge process, this dissertation, by taking the advantage of user permission management to guarantee the safety of knowledge, made possible the realization of the knowledge accumulation, knowledge sharing, knowledge exchanges and knowledge innovation, and at the same time provided a reliable craft knowledge management. With a point of departure from the characteristics of technological knowledge, process knowledge was divided into factual knowledge, selective knowledge and decision-making knowledge, and the ontology introduced into the process knowledge representation field, and process knowledge in conception-ontology hierarchy was established. Given the current main body modeling methods, this dissertation put forward an improved ontology modeling method-circle synthesis, which could help to research more appropriate process knowledge for ontology modeling process. Based on the above study, by taking the machinery manufacturing process knowledge as an object, this research, by extracting ontic conceptions of parts of the process knowledge, determining the nature and relations of the concepts, established the corresponding ontology models, and represented parts of the process knowledge by the OWL language, which laid the foundation of subsequent semantic knowledge retrieval and knowledge mining. In the case of the defects of the low precision and recall ratio of the traditional retrieval technology, semantic knowledge retrieval technology based on ontology was researched. By calculating the semantic similarities between ontic conceptions, and by using semantic matching between concepts, the completeness and accuracy of retrieval were improved. On the basis of analyzing the current similarity-calculating models, and with the consideration of all the influencing factors including the degree of semantic overlap, semantic depth and density, and semantic attributes, and etc., this dissertation proposed a modified ontology-based semantic similarity calculation method, and checked its rationality and accuracy use in process knowledge. For the relating knowledge of the process knowledge, an improved ontology-based mining algorithm of the relating rules was proposed. The algorithm explored the relating rules of the process knowledge by using the ontic conceptions, which provided a clearer summary of the structure layered, thus generating cross-list, so as to quicken the things’support degree counting, shorten the process of scanning time, and simplify the mining process, the author proposed the design idea and functional structure of the process knowledge management system, developed the corresponding prototype, introduced the development environment of the system, and formed the system basic function.With the rapid development of network technology and information technology, and the emergence of new process and new technologies, the process knowledge management system needs continuous improvement and perfection. And it also needs investigation and promotion on process knowledge mining and ontology of process knowledge establishing, and. etc.