DocumentCode :
2066467
Title :
Knowledge Representation for potential field of study recognition
Author :
Mappe, Santy Arbi A. ; Wongthongtham, Pornpit
Author_Institution :
Sch. of Inf. Syst., Curtin Univ., Perth, WA, Australia
fYear :
2013
fDate :
26-29 Aug. 2013
Firstpage :
160
Lastpage :
163
Abstract :
Knowledge Representation is a part of Artificial Intelligence that focuses on the formalism design. The knowledge about a specific domain is expressed epistemologically and computationally. One of the main reasons for this is that knowledge must be represented so as to easily identify the structure and characteristics of classes and the relationship among them. This paper will focus on the systematic investigation of ontology´s formula that is presented by Description logics. We believe that Description logics be able to sketch, define, integrate and maintain the ontology.
Keywords :
artificial intelligence; formal logic; ontologies (artificial intelligence); artificial intelligence; description logics; formalism design; knowledge representation; ontology formula; potential field; study recognition; systematic investigation; Blood; Conferences; Educational institutions; Ontologies; Unified modeling language; artificial intelligence; description logic; field of study; knowledge representation; ontology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Teaching, Assessment and Learning for Engineering (TALE), 2013 IEEE International Conference on
Conference_Location :
Bali
Type :
conf
DOI :
10.1109/TALE.2013.6654420
Filename :
6654420
Link To Document :
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