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| Title: | 本體論為基礎的統計資訊整合-以政府公開資訊為例
Ontology-Based Statistical Data Integration for Open Government |
| Authors: | 梁世麒
Liang, Shih Chi |
| Contributors: | 胡毓忠
Hu, Yuh Jong
梁世麒
Liang, Shih Chi |
| Keywords: | 語意網
開放式政府
Semantic Web
Open Government |
| Date: | 2012 |
| Issue Date: | 2013-02-01 17:06:46 (UTC+8) |
| Abstract: | 現代的民主國家無不致力於深化民主的價值，政府運用人民所繳納的稅金進行相關施政，在政府運用國家資源的同時，也應該提供各項施政的統計資料以便說明及用來監督政府施政的成效，政府提供的資料所涵蓋的領域及格式非常多元，若要加以運用產生具有附加價值的資訊，往往單一來源的資料無法滿足需求，必須透過多方的合併參照才能凸顯在資料背後所隱含的價值，因此使用者在運用前必須先針對不同來源的統計資料進行多方的蒐集、參考及比對，最後才能彙整成為有用的資訊，而政府將各種的資料進行公開之後也會快速累積出龐大的資料量，若要透過人工的蒐集比對其困難度也越來越高，因此如何能動態地從不同來源中萃取出有意義的內容便是一個相當大的挑戰，本研究運用語意網技術來解決此一困難，透過單一平台來進行多元資料的彙整查詢，在此平台上使用者可以依其需要選擇特定資料維度或計量單位作為整合條件，並針對特定或不特定的對象進行查詢，最後透過彙整後的結果來提高資料本身的價值，本研究最終目的為提供系統化的方法將政府公開統計資料進行有意義的萃取、彙整及再利用。
For enhancement of the value of democracy, the governments are expected to publish statistical data to explain and monitor the performance of policy implementation while they utilize the national resources and the tax for the policies. The data provided by official departments usually contain multiple domain information with diverse formats, which cause the difficulty to generate value-added information from single source. The embedded values could be revealed only by cross-reference of multiple sources. Valued information must be collected, cross-referred, and compared from different sources. In addition, after the government publishes the data, the database would be accelerated to accumulate. The difficulty of manual data collection and comparison would be enhanced consequently. Therefore, it is challenge to extract valued content from different sources dynamically.The study utilized semantic web technology to integrate the inquiry of diverse data with single platform. Users can select specific data dimension or measurement unit based on their requirement as the condition and inquire on specific or unspecific objects. The value of data could be enhanced with the integrated results. The ultimate purpose of this study is to provide a systematized method to extract, integrate and reuse government`s public statistical data. |
| Reference: | 參考文獻
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| Description: | 碩士
國立政治大學
資訊科學學系
98971016
101 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0098971016 |
| Data Type: | thesis |
| Appears in Collections: | [資訊科學系] 學位論文
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