現今生活中，知識工作者常常廣泛的運用許多視覺化知識物件以表達他們的意見、提案、發現和報告。一個有效率的視覺化知識物件搜尋及關係呈現系統將能幫助知識工作者提高生產力。本研究針對微軟的線上多媒體藝廊提出一個視覺化知識物件的搜尋及導覽系統，利用正規概念分析法呈現視覺化知識物件之間的關係。此系統能從知識庫中快速的檢索視覺化知識物件，並改進利用正規概念分析法所獲得之概念格以利導覽。最後實際測試將概念格視覺化以及此系統的使用者介面是否真正能提升知識工作者的生產力。

Nowadays, there are large number of visual knowledge objects (VKOs) which are widely used by knowledge workers to present their ideas, proposals, findings and reports. An efficient system for searching VKOs and representing their relationships is useful to increase productivity. This thesis proposes a VKOs searching and navigation system against Microsoft Online Clip Art Gallery with ability to show relations between VKOs by using Formal Concept Analysis (FCA). This system allows fast retrieval of VKOs from the knowledge repository. Improvements are made in order to provide better navigation of concept lattice. The usability of the visualization of concept lattice and user interfaces in the system will be investigated and evaluated to determine whether knowledge workers can improve their productivity.

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