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  • 學位論文

Intranet上以RDB為核心的文件編輯器之研究

Developing a Document Editor Based on Relational Database via Intranet

指導教授 : 姚修慎
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摘要


隨著知識經濟的發展,知識管理將越形重要,利用資訊科技的技術更可加速知識的運用與創造。結構化的資料比非結構化資料降低了知識探勘的選擇、處理及轉換資料的步驟,有助於知識管理系統萃取知識的品質與效率。 本論文主要研究是在知識著作者利用文書編輯器製作資訊文件的階段時,內嵌了資料片段組裝及文件樣式組裝的機制、結構化轉換的策略及領域屬性一致性檢查等功能,將供人們閱讀的非結構化資訊文件轉成結構化的資訊,並整合寫到企業組織的關聯式資料庫(RDB)中。如此可使得知識管理系統中的資料儲存處所趨向一致化,同時也可利用RDB應用在計算、統計、及資料分析等方面的優勢,來提升知識管理系統的效能。

並列摘要


Following by the development of knowledge economy, Knowledge Management is more important. The use of information technology will speed up the application and creation of the knowledge. Structured data is more reduced data mining selection, processing, and transformation data steps that can help knowledge management system to mining knows quality and efficiency than non-structured data. This paper focuses on studying in knowledge author who used word processor editor to product information text. In this edit stage we had embedded data fragment and style-encapsulated functions, structural data transformation policy and domain attribution correspondence check functions. Unstructured text is easy to human readable. Transformation unstructured data to structured data and integrated to RDB of enterprise via this paper methods can make knowledge management system to store data and lead to correspondence, and can use RDB advantage likes to apply in calculation, statistic, graphic, and data analysis and so on, to prompt total knowledge management system efficiency.

參考文獻


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[11]P.Atzeni, G.Mecca, and P.Merialdo "Semi-structured and Structured Data in the Web: Going Back and Forth,” special section on management of semi-structured data, ACM SIGDOC RECORD, Dec 1997.
[12]J.McHugh, J.Widom, “Integrating Dynamically-Fetched External Information into a DBMS for Semi-structured Data,” special section on management of semi-structured data, ACM SIGDOC RECORD, Dec 1997.

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