基于denotatum的知识创造模型,用于监测和评估研发计划的实施

I. Zatsman, Pavel Buntman
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引用次数: 4

摘要

本文提出了描述指标发展阶段的两个符号学模型,包括已开发指标专家知识的生成微过程。为了描述这些微过程的阶段,引入了“弗雷格空间”的新概念。一个相关的例子是将两个符号学模型应用于评估系统的一个组成部分——主动词典的专家知识库的知识获取。该词典使专家能够确定指标发展的阶段,以图形形式呈现发展指标不同变体的结果,并对这些变体进行比较和评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Denotatum-based models of knowledge creation for monitoring and evaluating R&D program implementation
The paper presents two semiotic models for a description of development stages of indicators, including generation microprocesses of expert knowledge about developed indicators. For the description of stages of these microprocesses, a new notion of “Frege's space” is introduced. A related example is an application of two semiotic models to knowledge acquisition for an expert knowledge base named the proactive dictionary, which is 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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