The Role of Explicit Knowledge: A Conceptual Model of Knowledge-Assisted Visual Analytics
The Role of Explicit Knowledge: A Conceptual Model of Knowledge-Assisted Visual Analytics
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显性知识的作用：知识辅助可视化分析的概念模型
DOI：
10.1109/vast.2017.8585498
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
W. Aigner
中科院分区：
文献类型：
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作者：
P. Federico;Markus Wagner;A. Rind;Albert Amor;S. Miksch;W. Aigner
可视化分析（VA）旨在将人类和计算机的优势联合收割机结合起来，进行有效的数据分析。在这一奋进中，来自先前经验的人类隐性知识是人类和计算机都可以利用的重要资产，以改进分析过程。虽然VA环境开始包括功能，以形式化，存储和利用这些知识，这些环境集成显式知识的机制和程度有很大的不同。此外，这类重要的VA环境从来没有详细阐述了现有的工作VA理论。基于货车Wijk的可视化模型，提出了知识辅助VA的概念模型。我们应用该模型来描述各种例子的知识辅助VA从文献中，并详细阐述了其中三个更精细的细节。此外，我们说明了利用该模型来比较不同的设计方案，并评估现有的方法，就其使用的知识。最后，该模型可以激励设计师有效地利用显式知识生成新颖的VA环境。
Visual Analytics (VA) aims to combine the strengths of humans and computers for effective data analysis. In this endeavor, humans’ tacit knowledge from prior experience is an important asset that can be leveraged by both human and computer to improve the analytic process. While VA environments are starting to include features to formalize, store, and utilize such knowledge, the mechanisms and degree in which these environments integrate explicit knowledge varies widely. Additionally, this important class of VA environments has never been elaborated on by existing work on VA theory. This paper proposes a conceptual model of Knowledge-assisted VA conceptually grounded on the visualization model by van Wijk. We apply the model to describe various examples of knowledge-assisted VA from the literature and elaborate on three of them in finer detail. Moreover, we illustrate the utilization of the model to compare different design alternatives and to evaluate existing approaches with respect to their use of knowledge. Finally, the model can inspire designers to generate novel VA environments using explicit knowledge effectively.