Design and evaluation of a layered thematic knowledge map system

Sheng Tun Li, Won Chen Chang

研究成果: Article同行評審

7 引文 斯高帕斯(Scopus)


Knowledge maps (K-maps) have been recognized as an expressive, efficient and effective way to enhance access and navigation of information in a large knowledge repository. However, its capability is limited by the lack of a way to systematically discover the hidden structure of codified knowledge and compactly visualize the map morphology to improve effective navigation. This paper presents a new hybrid approach to tackle these issues and proposes a layered thematic K-map system. The knowledge objects are firstly categorized and labeled according to their hidden conceptual architecture using a hierarchical self-organizing map network and then thematically navigated through a spatially expandable stacked view with corresponding information. The system is tested with a real-world soil remediation patent corpus with various map topologies. A pair-wise evaluation consisting of clustering performance and usability assessment was conducted. Compared with a typical file/directory view, the results of usability evaluation showed that the proposed system enhances the efficiency of comparison tasks while preserving comparable performance of identification and association tasks.

頁(從 - 到)92-103
期刊Journal of Computer Information Systems
出版狀態Published - 2008 十二月 1

All Science Journal Classification (ASJC) codes

  • 資訊系統
  • 教育
  • 電腦網路與通信


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