DocumentCode
2044830
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
Volume
2
fYear
2010
fDate
19-21 March 2010
Firstpage
285
Lastpage
289
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICCEA.2010.207
Filename
5445657
Link To Document