領域知識架構與內容之管理

Managing the Structure and Contents of Domain Knowledge

周雋偉(Chun-Wei Chou)

指導教授 ： 劉艾華

淡江大學/管理學院/資訊管理學系碩士班/碩士(2005年)

https://doi.org/10.6846/TKU.2005.00284

摘要

由於資訊科技的快速發展，搜尋特定領域的相關知識已經非常方便，但由於所處理的資料過於龐大與複雜，搜尋的結果不易整理，而研究人員在理解分析所獲得的資訊時也相對的需要花費更多的時間。若對資訊做更精確的分類與描述，將有助於整體領域知識之掌握及爾後的搜尋與整理。
本研究探討學者如何在文獻研讀的知識累積過程中，以更理想的方式表達完整的領域概念及論文重要內容之間的關係，所涵蓋的領域知識及所衍生對論文重要性及關連性的指標，不但讓研究者更確切的掌握領域知識架構，更可能提供給像Citeseer 此類透過關鍵字彙搜尋相關論文的搜尋引擎，以便更精確的找到所需要的資訊。對於這樣的問題，我們提出透過建立本體架構(Ontology)為基礎，將經過深入理解後的文獻知識內涵以結構化的方式彙整，讓使用者將整理過的資訊透過權重的計算與圖形化的方式呈現文章之間的關係，並建構出完整的領域架構。

關鍵字

本體架構 ； 領域知識管理 ； 權重設計

並列摘要

As a result of the fast development of Information technology, searching the related knowledge in specific domain is much easier than before. However, the amount of data is enormous and the relations between searched objects are complicated. To master the overall concepts of the particular domain is difficult. If we can classify and describe the related information more precisely, it would help the researcher to grasp the whole picture of the domain and enhance the quality of his work.
In this research we discuss how to improve the effectiveness of the researchers such that they can easily build-up the complete domain concept and the relations between the research articles in a structured way. The structure of the research domain is first required to be following a specific ontology. This allow users to present the relations between papers by calculating the weightings and visualizing the arranged data and show the complete domain framework. This approach of domain knowledge analysis can also provide the Searching Engine like Citeseer more precisely information about document relationships.

並列關鍵字

Ontology ； Domain Knowledge Management ； Weighting Design

參考文獻

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