Knowledge abstraction levels

Authors:
Pradip Peter Dey;Mohammad N. Amin;Jon Inouye;Thomas M. Gatton
Affiliations:
School of Engineering and Technology, National University, La Jolla, CA;School of Engineering and Technology, National University, La Jolla, CA;School of Engineering and Technology, National University, La Jolla, CA;School of Engineering and Technology, National University, La Jolla, CA
Venue:
ICAI'05/MCBC'05/AMTA'05/MCBE'05 Proceedings of the 6th WSEAS international conference on Automation & information, and 6th WSEAS international conference on mathematics and computers in biology and chemistry, and 6th WSEAS international conference on acoustics and music: theory and applications, and 6th WSEAS international conference on Mathematics and computers in business and economics
Year:
2005

Citing 5
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Abstract

One of the greatest challenges in knowledge management is ensuring that an adequate level of detailed knowledge is provided in a timely manner in response to a query. Excessive details are often inadequate for most circumstances. In order to provide knowledge at various levels of detail in a timely manner, preprocessing the knowledge structure is required. Dynamic processing of knowledge into different levels of abstraction is not practically feasible because of excessive processing loads. Preprocessing knowledge into multiple levels of abstraction enhances potential services to customers in a timely manner. Needless details are barriers to communication. Details should be supplied only if requested. A preprocessor based knowledge abstraction hierarchy is proposed in this paper which is capable of dealing with large and complex bodies of knowledge. Semantic analysis of knowledge provides additional support to the proposed abstraction hierarchy.