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
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