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