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Information and Knowledge Valuation using the Information Theory and Informative Matrices

机译:使用信息论和信息矩阵进行信息和知识评估

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For a more concrete analysis of the quantification of knowledge, one must normalize the quantification of data and information. One must, without entering into excessive detail, resort to the information theory, recognizing three features that data, information and knowledge have in common: weight, content and quantity. The following article is an introduction to and conceptualization, in the light of the Information Theory (IT), of the quantification of information and knowledge by means of informative matrices and a normalization valid for every IT organization. Key words: Data, information, knowledge, informative quantity, informative weight, informative content, informative matrix, information theory, generate.
机译:为了对知识的量化进行更具体的分析,必须规范化数据和信息的量化。必须不加过多细节地求助于信息论,要认识到数据,信息和知识共有的三个特征:重量,内容和数量。下一篇文章是根据信息论(IT)的介绍和概念化的,它通过信息矩阵和对每个IT组织都有效的归一化来量化信息和知识。关键词:数据,信息,知识,信息量,信息权重,信息内容,信息矩阵,信息论,生成。

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