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A Knowledge Lifecycle Model for Measurement of Knowledge Change
2012In this paper, a Knowledge Lifecycle Model is proposed to enable the characterisation and quantification of change in knowledge elements, which is a potentially important contributing factor in judging the applicability of the knowledge-based system approach for business and engineering tasks..
Wim J. C. Verhagen, Richard Curran
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Measures of uncertainty for knowledge bases
Knowledge and Information Systems, 2019This paper investigates measures of uncertainty for knowledge bases by using their knowledge structures. Knowledge structures of knowledge bases are first introduced. Then, dependence and independence between knowledge structures of knowledge bases are proposed, which are characterized by inclusion degree.
Zhaowen Li +3 more
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Measuring Knowledge Delivery Quantity of Associated Knowledge Flow
2008 Fourth International Conference on Semantics, Knowledge and Grid, 2008Associated knowledge flow (AKF) is a sequential link between associated topics, which can be applied to intelligent browsing and personalized recommendation. One key problem is how to measure the knowledge delivery quantity (KDQ) on an AKF. In this paper, a computational method of knowledge delivery quantity on an AKF is proposed.
Shunxiang Zhang +5 more
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2019
The Philebus ranks different kinds of knowledge in order of purity, with dialectic at the top. It is clear that at the lower levels the criterion of rank involves measurement: the more and purer measurement used, the higher a species of knowledge is on the epistemic hierarchy.
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The Philebus ranks different kinds of knowledge in order of purity, with dialectic at the top. It is clear that at the lower levels the criterion of rank involves measurement: the more and purer measurement used, the higher a species of knowledge is on the epistemic hierarchy.
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Measurement issues in knowledge engineering
IEEE Transactions on Systems, Man, and Cybernetics, 1989There are five sources (or determinants) of knowledge base quality: domain experts, knowledge engineers, knowledge representation schemes, knowledge elicitation methods, and problem domains. The knowledge base for many expert systems is developed for a problem domain using one domain expert, one knowledge engineer, one knowledge representation scheme ...
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Specific Knowledge and Performance Measurement
SSRN Electronic Journal, 2008I examine optimal incentives and performance measurement in a model where an agent has specific knowledge (in the sense of Jensen and Meckling) about the consequences of his actions for the principal. Contracts can be based both on “input” measures related to the agent's actions and an “output” measure related to the principal's payoff.
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Measurement of pedagogical content knowledge
Proceedings of the 8th Workshop in Primary and Secondary Computing Education, 2013Almost 30 years ago, Shulman categorized the knowledge of teachers by several categories including the pedagogical content knowledge (PCK): "It represents the blending of content and pedagogy into an understanding of how particular topics, problems, or issues are organized, represented and adapted to the diverse interests and abilities of learners ...
Laura Ohrndorf, Sigrid E. Schubert
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Knowledge Fusion and Evaluation System with Fusion-Knowledge Measure
2009 Second International Symposium on Computational Intelligence and Design, 2009Knowledge fusion is to combine knowledge from multiple, distributed, heterogeneous knowledge sources. To control the scale of fusion-knowledge and avoid the illogic knowledge, relationship strength between the knowledge elements and semantic relevancy based on ontology were firstly analyzed.
Cijun Xu, Aiping Li, Xuemei Liu
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Valuing of firms' prior knowledge: a measure of knowledge distance
Knowledge and Process Management, 2003AbstractKnowledge, especially scientific and technological knowledge, grows according to knowledge trajectories and guideposts that make up the prior knowledge of an organization. We argue that these knowledge structures and their specific components lead to successful innovation.
Liyanage, S., Barnard, R. T.
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Knowledge structures in a tolerance knowledge base and their uncertainty measures
Knowledge-Based Systems, 2018Abstract Rough set theory is a useful tool for dealing with imprecise knowledge. Its important notion is a knowledge base. In a knowledge base, one can approximately describe the target notion in terms of existing knowledge structures. A tolerance knowledge base is the generalization of knowledge bases. This paper investigates knowledge structures in
Bin Qin, Fan-ping Zeng, Ke-song Yan
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