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Theoretical Framework and Denotatum-Based Models of Knowledge Creation for Monitoring and Evaluating R&D Program Implementation

Theoretical Framework and Denotatum-Based Models of Knowledge Creation for Monitoring and Evaluating R&D Program Implementation

Igor Zatsman, Pavel Buntman
Copyright: © 2013 |Volume: 5 |Issue: 1 |Pages: 17
ISSN: 1942-9045|EISSN: 1942-9037|EISBN13: 9781466631069|DOI: 10.4018/ijssci.2013010102
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MLA

Zatsman, Igor, and Pavel Buntman. "Theoretical Framework and Denotatum-Based Models of Knowledge Creation for Monitoring and Evaluating R&D Program Implementation." IJSSCI vol.5, no.1 2013: pp.15-31. http://doi.org/10.4018/ijssci.2013010102

APA

Zatsman, I. & Buntman, P. (2013). Theoretical Framework and Denotatum-Based Models of Knowledge Creation for Monitoring and Evaluating R&D Program Implementation. International Journal of Software Science and Computational Intelligence (IJSSCI), 5(1), 15-31. http://doi.org/10.4018/ijssci.2013010102

Chicago

Zatsman, Igor, and Pavel Buntman. "Theoretical Framework and Denotatum-Based Models of Knowledge Creation for Monitoring and Evaluating R&D Program Implementation," International Journal of Software Science and Computational Intelligence (IJSSCI) 5, no.1: 15-31. http://doi.org/10.4018/ijssci.2013010102

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Abstract

The paper presents two semiotic models for a description of development stages of indicators, including generation processes of expert knowledge about developed indicators. For the description of stages of these processes, a new notion of “Frege’s space“ is introduced. The authors described two applied semiotic models of knowledge acquisition. Those processes were studied in the context of forming an expert knowledge base named proactive dictionary, which represents a component of an evaluation system. This dictionary enables experts to fix stages of indicators development, to present the results of developing different variants of indicators in graphic form, to compare and evaluate these variants.

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