DocumentCode
510258
Title
A UML-Based Describing and Organizing Approach for Complex Domain Knowledge and its Usage in Composite Materials Manufacture
Author
Wei, Hui ; Ma, Yan
Author_Institution
Sch. of Comput. Sci. & Technol., Fudan Univ., Shanghai, China
Volume
3
fYear
2009
fDate
7-8 Nov. 2009
Firstpage
277
Lastpage
281
Abstract
Knowledge representation (KR) is critical to establish effective knowledge-based systems (KBSs) and closely linked with knowledge reasoning and the extension of a KBS. At the same time, KR is the bottleneck that all knowledge engineers face, especially in representing complex domain knowledge. This paper proposes a new approach based on unified modeling language (UML) which takes knowledge as a process of system analyst and description in the perspective of object-oriented ideology. UML, with abundant assistance tools, is characterized by its reliable, mature syntax and provides favorable structure and strong expressiveness capacity. Furthermore, this paper takes composite materials manufacture area for example and introduces knowledge classifications and UML models they are represented with.
Keywords
Unified Modeling Language; composite materials; knowledge based systems; knowledge representation; object-oriented methods; production engineering computing; UML-based describing approach; UML-based organizing approach; complex domain knowledge; composite materials manufacture; knowledge reasoning; knowledge representation; knowledge-based systems; object-oriented ideology; system analyst; system description; unified modeling language; Composite materials; Knowledge based systems; Knowledge engineering; Knowledge representation; Object oriented modeling; Organizing; Pulp manufacturing; Reliability engineering; Unified modeling language; Virtual manufacturing; Knowledge Based Systems; Knowledge Representation; UML;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-3835-8
Electronic_ISBN
978-0-7695-3816-7
Type
conf
DOI
10.1109/AICI.2009.65
Filename
5376650
Link To Document