Title :
Product-Design Knowledge Retrieval Based on Ontology and Rule
Author :
Si, Chen ; Yan, Yan ; Guoxin, Wang ; Jia, Hao
Author_Institution :
Sch. of Mech. Eng., Beijing Inst. of Technol., Beijing, China
Abstract :
In order to improve the recall ratio and precision ratio in knowledge retrieval of the product-design process, a semantic-oriented framework of product-design knowledge retrieval is presented. In this framework, the rule model is established to improve the ability of intelligent inference and solve the problem of polysemy. Then ontology model is established to improve the ability of semantic extension and solve the problem of generalization and synonym. Finally, the process of a typical product as a research object is studied. Based on that, a knowledge management system is developed. The effectiveness and feasibility of this method is validated.
Keywords :
CAD; inference mechanisms; information retrieval; knowledge management; ontologies (artificial intelligence); production engineering computing; generalization problem; intelligent inference; knowledge management system; ontology model; polysemy problem; product-design knowledge retrieval; rule model; synonym problem; Animals; Application software; Computer applications; Inference algorithms; Information retrieval; Knowledge engineering; Knowledge management; Manufacturing; Mechanical engineering; Ontologies; intelligent inference; knowledge retrieval; ontology; rule; semantic;
Conference_Titel :
Computer Engineering and Applications (ICCEA), 2010 Second International Conference on
Conference_Location :
Bali Island
Print_ISBN :
978-1-4244-6079-3
Electronic_ISBN :
978-1-4244-6080-9
DOI :
10.1109/ICCEA.2010.207
