A description logic approach for representing engineering design standards

1993 ◽  
Vol 9 (2) ◽  
pp. 108-124 ◽  
Author(s):  
M. Maher Hakim ◽  
James H. Garrett
Keyword(s):  
Engineering Design ◽  
Description Logic ◽  
Design Standards ◽  
Logic Approach

Engineering Anthropometry

1976 ◽  
Vol 20 (16) ◽  
pp. 365-367 ◽  
Author(s):  
K. H. E. Kroemer
Keyword(s):  
Engineering Design ◽  
Human Subjects ◽  
Measurement Methods ◽  
Physical Measurement ◽  
Design Standards ◽  
Manufactured Products ◽  
Engineering Drawings

“Engineering anthropometry is the application of scientific physical measurement methods to human subjects for the development of engineering design standards and specific requirements and for evaluation of engineering drawings, mock-ups, and manufactured products for the purpose of assuring suitability of these products for the intended user population.” (page 6 in Roebuck, Kroemer & Thomson 1975)

scholarly journals Web-Based Learning Under Tacit Mining of Various Data Sources

2021 ◽  
Vol 16 (16) ◽  
pp. 153
Author(s):  
Abdelouahab Belazoui ◽  
Abdelmoutia Telli ◽  
Chafik Arar
Keyword(s):  
Description Logic ◽  
Intelligent Tutoring System ◽  
Open Educational Resources ◽  
Data Sources ◽  
Systems Architecture ◽  
Tutoring Systems ◽  
Additional Information ◽  
Ontology Language ◽  
Logic Approach ◽  
The Web

Nowadays, many platforms provide open educational resources to learners. So, they must browse and explore several suggested contents to better assimilate their courses. To facilitate the selecting task of these resources, the present paper proposes an intelligent tutoring system that can access teaching contents available on the web automatically and offers them to learners as additional information sources. In doing so, the authors highlight the description logic approach and its knowledge representation strength that underwrites the modulization, inference, and querying about a web ontology language, and enhanced traditional tutoring systems architecture using ontologies and description logic to enable them to access various data sources on the web. Finally, this article concludes that the combination of machine learning with the semantic web has provided a supportive study environment and enhanced the schooling conditions within open and distance learning.

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