DocumentCode :
2991397
Title :
Heterogeneous knowledge representation for VLSI systems and MEMS design
Author :
Shakhnov, Vadim ; Zinchenko, Lyudmila ; Makarchuk, Vladimir ; Verstov, Vladimit
Author_Institution :
Dept. of Design & Technol. of Electron. Devices, Bauman Moscow State Tech. Univ., Moscow, Russia
fYear :
2013
fDate :
2-5 Dec. 2013
Firstpage :
189
Lastpage :
194
Abstract :
In the paper knowledge representation approaches for two engineering applications are discussed. Our focus is on the VLSI systems and MEMS design case study. Cognitive features are shown to be important components in data curation for our case study.
Keywords :
VLSI; electronic engineering computing; micromechanical devices; nanoelectromechanical devices; ontologies (artificial intelligence); MEMS design case study; VLSI systems; cognitive features; data curation; heterogeneous knowledge representation; Computational modeling; Micromechanical devices; Nanoscale devices; OWL; Ontologies; Very large scale integration; MEMS; VLSI; knowledge representation; nanotechnology; ontology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Infocommunications (CogInfoCom), 2013 IEEE 4th International Conference on
Conference_Location :
Budapest
Print_ISBN :
978-1-4799-1543-9
Type :
conf
DOI :
10.1109/CogInfoCom.2013.6719239
Filename :
6719239
Link To Document :
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