DocumentCode
1594005
Title
Connectionism-inspired knowledge modeling for industrial systems
Author
Dvoryanchikova, A. ; Lobov, A. ; Capanji, A. ; Lastra, J. L Martinez
Author_Institution
Dept. of Production Eng., Tampere Univ. of Technol., Tampere, Finland
fYear
2010
Firstpage
1091
Lastpage
1097
Abstract
This paper introduces connectionistic concept grid (CCG), which is used for representation and reasoning of engineering knowledge applied for the industrial systems. The paper also presents the Crossword tool which was used for computer aided modelling and execution of CCG. CCG is able to provide semantic descriptions of objects and processes and was developed to overcome limitations of earlier knowledge approaches in expression of temporal relations between objects. The scope of this article includes an explanation of the principles for the proposed approach. The execution principles of the model, description of the tool and simple illustrative scenario of industrial equipment used in automated assembly line are discussed. It is assumed that the equipment interfaces are implemented as web services.
Keywords
Web services; assembling; knowledge representation; mass production; product customisation; production engineering computing; Web services; automated assembly line; computer aided modelling; connectionism-inspired knowledge modeling; connectionistic concept grid; crossword tool; industrial equipment; industrial systems; mass customization; Assembly; Automatic control; Cognition; Humans; Industrial relations; Knowledge engineering; Manufacturing systems; Mass customization; Ontologies; Web services;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Informatics (INDIN), 2010 8th IEEE International Conference on
Conference_Location
Osaka
Print_ISBN
978-1-4244-7298-7
Type
conf
DOI
10.1109/INDIN.2010.5549587
Filename
5549587
Link To Document