Knowledge Representation for Potential Field of Study Recognition
MetadataShow full item record
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.
Copyright © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Showing items related by title, author, creator and subject.
Zadjabbariochtapeh, Behrang (2010)Knowledge sharing is one of the most critical elements in a knowledgebased society. With huge concentration on communication facilities, there is a major shift in world-wide access to codified knowledge. Although communication ...
Geneste, Louis André (2010)This thesis examines the role that non-collaborative, weak exchange relationships might play in the acquisition of knowledge by small and medium-sized enterprises (SMEs). An important source of knowledge for a firm lies ...
Zadjabbari, Behrang; Wongthongtham, Pornpit; Hussain, Farookh Khadeer (2010)For many years, physical asset indicators were the main evidence of an organization’s successful performance. However, the situation has changed following the revolution of information technology in the knowledge-based ...