Manufacturing Technology Knowledge Retrieval System Based on OSE and UCF

Manufacturing Technology Knowledge Retrieval System Based on OSE and UCF

Blog Article

Nowadays it is commonly accepted that knowledge, as a resource has become increasingly important in the drive toward knowledge-driven innovation in the manufacturing industry, and which is especially critical for the research and development of complex equipment.In China, there are several fields of manufacturing, such as Brassica carinata biomass, yield, and seed chemical composition response to nitrogen rates and timing on southern Coastal Plain soils in the United States aviation, ship, and electronics.Although each of them has its own professional technology, they also take advantage of the basic common manufacturing technology.

Thus, it is meant for sharing manufacturing technology knowledge.In order to promote innovation, a manufacturing technology knowledge retrieval system is developed to make more efficient use of manufacturing technology knowledge.Manufacturing technology knowledge is a phrase with vast meanings, which may include knowledge of different manufacturing process means, machine, and process capabilities or the latest technology developments.

In this system, the manufacturing technology knowledge is defined and organized.A knowledge retrieval method based on the weighted fusion of ontology-based semantic extension (OSE) and user-based collaborative filtering (UCF) is proposed and described detailed.On this basis, Determinants of Unemployment: Empirical Evidence from Indonesia the prototype system of manufacturing technology knowledge retrieval system is developed.

Its architecture and main functions are elaborated.The results of this system facilitate the sharing of manufacturing knowledge, and it is expected to accelerate the process of knowledge transfer, to improve the level of the overall manufacturing technology.