政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/56916
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    题名: 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
    作者: 梁世麒
    Liang, Shih Chi
    贡献者: 胡毓忠
    Hu, Yuh Jong
    梁世麒
    Liang, Shih Chi
    关键词: 語意網
    開放式政府
    Semantic Web
    Open Government
    日期: 2012
    上传时间: 2013-02-01 17:06:46 (UTC+8)
    摘要: 　　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.
    參考文獻: 參考文獻
    [1] 葉俊榮、許宗力. 政府資訊公開制度之研究. 台北：行政院研考會(1996).
    [2] Berners-Lee, T. Putting government data online. http://www.w3.org/
    DesignIssues/GovData.html, 2009.
    [3] Bizer, C. D2rq - treating non-rdf databases as virtual rdf graphs. In ISWC
    (2004).
    [4] Davies, A., and Lithwick, D. Government 2.0 and access to information:
    2. recent developments in proactive disclosure and open data in the united
    states and other countries. Ottawa, Canada: Library of Parliament.
    [5] Han, L., Finin, T., Parr, C., Sachs, J., and Joshi, A. RDF123: a mechanism to
    transform spreadsheets to RDF. Tech. rep., University of Maryland, Baltimore
    County, August 2007. Technical Report.
    [6] Harris, S., and Seaborne, A. SPARQL 1.1 Query Language. http://www.
    w3.org/TR/sparql11-query/, 2010.
    [7] Hausenblas, M., Halb, W., Raimond, Y., Feigenbaum, L., and Ayers, D.
    Scovo: Using statistics on the web of data. In ESWC (2009).
    [8] Jeni Tennison, T. The rdf data cube vocabulary. W3C Working Draft, 2012.
    [9] Kampgen, B., and Harth, A. Transforming statistical linked data for use in
    olap systems. In I-SEMANTICS (2011).
    [10] Langegger, A., and W o , W. SemWIQ - semantic web integrator and query engine. In GI Jahrestagung (2) (2008).
    [11] Langegger, A., and W o , W. XLWrap - querying and integrating arbitrary spreadsheets with SPARQL. In ISWC (2009).
    [12] Orszag, P. R. Open government directive. Executive Office of the President,
    Office of Management and Budget, Memorandum for the Heads of Executive
    Departments and Agencies, Washington, DC, December 8.
    52
    [13] Prud`hommeaux, E., and Seaborne, A. SPARQL query language for rdf.
    W3C Recommendation 4 (2008), 1--106.
    [14] Tauberer, J. Open data is civic capital: Best practices for `open government
    data`. Version 1.1, 20 July, 2009.
    [15] Treasury, H. M. Putting the frontline first: smarter government. Cm 7753.
    53
    描述: 碩士
    國立政治大學
    資訊科學學系
    98971016
    101
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0098971016
    数据类型: thesis
    显示于类别:[資訊科學系] 學位論文

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