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
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;
Conference_Titel :
Industrial Informatics (INDIN), 2010 8th IEEE International Conference on
Conference_Location :
Osaka
Print_ISBN :
978-1-4244-7298-7
DOI :
10.1109/INDIN.2010.5549587