DocumentCode :
463374
Title :
On Concept Algebra and Knowledge Representation
Author :
Wang, Yingxu
Author_Institution :
Dept. of Electr. & Comput. Eng., Calgary Univ., Alta.
Volume :
1
fYear :
2006
fDate :
17-19 July 2006
Firstpage :
320
Lastpage :
331
Abstract :
A concept is a basic unit of cognition that carries certain meanings. In cognitive informatics, a concept is formally modeled as an abstract and dynamic mathematical structure that encapsulates attributes, objects, and relations. The most important feature of an abstract concept is its networking capability, or the adaptive capability to interrelate itself to other concepts. This paper presents a formal theory for abstract concepts and knowledge manipulation known as concept algebra. The mathematical models of concepts and knowledge are developed based on the object-attribute-relation (OAR) theory. The formal methodology for manipulating knowledge as a concept network is described. Case studies demonstrate that the concept network and concept algebra provide a generic and formal knowledge manipulation means that are capable to deal with complex knowledge structures and their algebraic operations
Keywords :
knowledge representation; process algebra; abstract concepts; cognitive informatics; concept algebra; knowledge manipulation; knowledge representation; object-attribute-relation theory; Algebra; Cognition; Cognitive informatics; Concrete; Drives; Intelligent networks; Knowledge representation; Mathematical model; Solids; Sun; Cognitive informatics; case studies; concept; concept algebra; knowledge; knowledge network; mathematics; natural intelligence; the OAR model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Informatics, 2006. ICCI 2006. 5th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0475-4
Type :
conf
DOI :
10.1109/COGINF.2006.365514
Filename :
4216431
Link To Document :
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