Welcome to the InfoSci Platform
Reference Hub8
Knowledge Representation: A Conceptual Modeling Approach

Knowledge Representation: A Conceptual Modeling Approach

Cecil Eng Huang Chua, Veda C. Storey, Roger H. Chiang
Copyright: © 2012 |Volume: 23 |Issue: 1 |Pages: 30
ISSN: 1063-8016|EISSN: 1533-8010|EISBN13: 9781466614932|DOI: 10.4018/jdm.2012010101
Cite Article Cite Article

MLA

Chua, Cecil Eng Huang, et al. "Knowledge Representation: A Conceptual Modeling Approach." JDM vol.23, no.1 2012: pp.1-30. http://doi.org/10.4018/jdm.2012010101

APA

Chua, C. E., Storey, V. C., & Chiang, R. H. (2012). Knowledge Representation: A Conceptual Modeling Approach. Journal of Database Management (JDM), 23(1), 1-30. http://doi.org/10.4018/jdm.2012010101

Chicago

Chua, Cecil Eng Huang, Veda C. Storey, and Roger H. Chiang. "Knowledge Representation: A Conceptual Modeling Approach," Journal of Database Management (JDM) 23, no.1: 1-30. http://doi.org/10.4018/jdm.2012010101

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Substantial work in knowledge engineering has focused on eliciting knowledge and representing it in a computational form. However, before elicited knowledge can be represented, it must be integrated and transformed so the knowledge engineer can understand it. This research identifies the need to separate knowledge representation into human comprehension and computational reasoning and shows that this will lead to better knowledge representation. Modeling of human comprehension is called conceptual knowledge representation. The Conceptual Knowledge Representation Scheme is developed and validated by conducting a combined qualitative/quantitative repeated-measures experiment comparing the Conceptual Knowledge Representation Scheme to two computation-oriented ones. The results demonstrate that the Conceptual Knowledge Representation Scheme better facilitates human comprehension than existing representation schemes. Four principles of the Conceptual Knowledge Representation Scheme emerge that help to attain effective knowledge representation. These are: (1) a focus on human comprehension only, (2) design around natural language, (3) addition of constructs common in the domain, and (4) constructs for representing abstract versions of detailed concepts.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.