簡易檢索 / 詳目顯示

研究生: 沈柏辰
Pai-Chen Shen
論文名稱: 具視覺化工具輔助的新聞瀏覽系統設計
Designing a network-based concept visualizer to navigate news searching and browsing
指導教授: 謝吉隆
Hsieh, Ji-Lung
學位類別: 碩士
Master
系所名稱: 圖書資訊學研究所
Graduate Institute of Library and Information Studies
論文出版年: 2012
畢業學年度: 100
語文別: 中文
論文頁數: 99
中文關鍵詞: 概念圖資訊視覺化新聞導覽
英文關鍵詞: concept map, information visualization, news navigation
論文種類: 學術論文
相關次數: 點閱:162下載:6
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  •   網路新聞的蓬勃發展,使得民眾得以輕易且迅速的取得新聞資訊,但卻因資訊量過於龐大、難以消化,進而衍生資訊的可搜尋性問題。過去的研究指出當使用者不了解其所欲尋找的資訊時,搜尋引擎無法幫助使用者找到正確的資訊,例如下關鍵字的問題。故過去亦有研究者嘗試利用自動化摘要、相關性回饋、資訊視覺化等方法試圖幫助使用者能夠獲取有效且受用的資訊。著眼於此,本研究利用動態網絡視覺化方法自行開發一套新聞互動導覽系統,系統包含利用網絡圖進行關鍵字推薦、瀏覽歷程紀錄與控制、繪圖原則切換、資訊過濾與資訊分群等功能,以引導使用者搜尋與瀏覽新聞資訊。在系統評估方面,本研究透過問卷、訪談、歷程序列分析等方法可發現本系統獲得以下正面回饋:1) 本系統利用網絡圖進行關鍵字推薦與群集幫助使用者有效挖掘相關資訊;2) 網絡繪圖規則切換能夠幫助使用者以更多不同的角度瀏覽資訊;3) 關鍵字共現強度濾器,能夠幫助使用者過濾複雜的資訊,以助於進行下一步驟之瀏覽;4) 歷程紀錄與控制功能,能夠導航使用者的瀏覽過程,並自我定位瀏覽路徑。然而,亦有使用者表示在操作性或認知上的負面回饋,例如,有使用者提及雖然系統提供相當多元的功能幫助進行新聞瀏覽,但使用門檻高,使用時不易理解種多功能所能帶來之助益。

      The raising of online news allows people to obtain and access the news information easily, however, also increases the difficulty to search browse, and digest daily news. To assist users in news browsing and searching, this study built up a dynamic network visualization tool composed of visualized concept maps, trends of keywords, and interactive browsing paths, and related news contents. Users can drag and click on terms to expand related ones, traverse or alter the browsing path, and explore the concept network from different points of view. Three layout methods of visualizing concept maps were implemented to list and cluster concepts for different purposes. A user study was conducted to evaluate the usefulness and usability of our tool. The results of the user study showed both positive and negative opinions from our participants. They agreed that network-based visualizer provides related terms for the next browsing, and the interactive browsing path can help them control the set of related news. However, some of the participants indicated that the visualized features were too complex and even confusing for use.

    第一章 緒論 1 第一節 研究背景動機 1 第二節 研究目的 5 第三節 研究範圍與限制 6 第二章 文獻探討 7 第一節 使用者的資訊搜尋、瀏覽策略與視覺化輔助之導覽系統 7 第二節 資訊視覺化簡介與新聞應用實例 14 第三節 網絡視覺化演算法 28 第四節 視覺化系統的使用者評估方法與研究案例 30 第五節 小結 33 第三章 研究方法 35 第一節 系統流程與架構 36 第二節 繪圖演算法 43 第三節 新聞資料蒐集與格式範例 48 第四節 使用者評估方法 48 第四章 系統展示與使用者評估結果 55 第一節 系統建構與元件 55 第二節 系統功能與展示 58 第三節 使用者評估 63 第五章 結論、研究貢獻與未來發展 75 第一節 結論 75 第二節 研究貢獻 79 第三節 未來發展 80 參考文獻 83 中文部份 83 英文部份 84 附錄 91 附件 1 使用者滿意度問卷 91 附件 2 新聞主題搜尋任務說明 92 附件 3 循序樣式探勘結果一覽表 93 附件 4 訪談逐字稿 95

    中文部份
    卜小蝶、陳思穎(2007)。網路自動分群搜尋引擎之使用者評估研究。圖書資訊學研究,2(1),55-80。
    林珊如(2000)。圖書館使用者瀏覽行為實證研究:瀏覽結果及影響因素之分析。圖書資訊學刊,15,37-68。
    翁秀琪(1997)。批判語言學、在地權力觀和新聞文本分析-宋楚瑜辭官事件中李宋會的新聞分析。中華傳播學會1997年年會論文。台北市,台灣。
    黃婷穎(2011)。網路評價視覺化系統。未出版碩士論文,國立台灣大學資訊管理學研究所,台北市。
    黃嬿(2009)。台灣報紙全球與地方環境新聞分析-以全球暖化和「八八風災」新聞為例。未出版碩士論文,國立臺灣師範大學大眾傳播研究所,台北市。
    劉政璋、葉鎮源、柯皓仁、楊維邦(2005)。以概念分群為基礎之新聞事件自動摘要。第十七屆自然語言與語音處理研討會。台南市,台灣。
    蘇蘅(1995)。消息來源與新聞價值-報紙如何報導「徐歷農退黨效應」。新聞學研究,50,15-40。
    英文部份
    Adar, E. (2007). GUESS: The Graph Exploration System. Retrieved 2011/11/29 from: http://graphexploration.cond.org/.
    Aigner, W., Miksch, S., M’uller, W., Schumann, H., & Tominski, C. (2008). Visual methods for analyzing time-oriented data. IEEE Transactions on Visualization and Computer Graphics, 14(1), 47–60.
    Analytic Technologies. (n.d.). UCINET: Social Network Analysis Software. Retrieved 2011/12/20 from http://analytictech.com/
    Barzilay, R., Mckeown, K., & Elhadad, M. (1998). Information fusion in the context of multi-document summarization. Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics (ACL’99), College Park, Maryland, 6-8.
    Bates, M., J. (1989). The design of browsing and berrypicking techniques for the online search interface. Online Information Review, 13(5), 407–424.
    Catledge, L., D., & Pitkow, J., E. (1995). Characterizing browsing strategies in the World Wide Web. Computer Networks and ISDN Systems, 27(6), 1065-1073.
    Cove, J. F., & Walsh, B., C. (1998). Online Text Retrieval via Browsing. Information Processing and Management, 24(1), 31-37.
    Chittaro, L. (2001). Information visualization and its application to medicine. Artificial Intelligence in Medicine, 22(2), 81-88.
    Chung, H., Liu, K., Li, T., & Chen, P. (2010). Exploring dynamic social network through interactive visualization. Proceedings of IEEE Pacific Visualization, Taipei, Taiwan.
    Delphi Group (2004). Information Intelligence: Content Classification and the Enterprise Taxonomy Practice. Retrieved 2012/06/17 from: http://stratify.com/infocenter/download/DelphiResearchReport2004.pdf
    Freeman, L., C. (1979). Centrality in social networks: Conceptual clarification. Social Networks, 1(79), 215-239.
    Fruchterman, T., & Reingold, E. (1991). Graph drawing by force-directed placement. Software - Practice and Experience, 21(11), 1129–1164.
    Google. (n.d.). Google Wonder Wheel. Retrieved 2012/6/10 from http://www.googlewonderwheel.com/.
    Gershon, N., Eick, S. G., & Card, S. (1998). Design: Information visualization. Interactions, 5 (2), 9-15.
    Havre, S., Hetzler, E., Whitney, P., & Nowell, L. (2002). Themeriver: Visualizing thematic changes in large document collections. IEEE Transactions on Visualization and Computer Graphics, 8(1), 9-20.
    Heer, J., & Boyd, d. (2005). Vizster: Visualizing Online Social Networks. Proceedings of the 2005 IEEE Symposium on Information Visualization, Washington, DC.
    Institute for Software Research at University of California. (n.d.). Information Visualization Research. Retrieved 2011/12/22 from http://www.isr.uci.edu/research-visualization.html.
    Joshua O., Danyel F., & Tom N. (2003). JUNG: Java Universal Network/Graph Framework. Retrieved 2011/12/15 from http://jung.sf.net/.
    Keim, D., A., (2002). Information Visualization and Visual Data Mining. IEEE Transactions on Visualization and Computer Graphic, 8(1), 1-8.
    Krstajić, M., Bertini, E., Mansmann, F., & Keim, D. A. (2010). Visual analysis of news streams with article threads. Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques. Washington, D.C., ACM: 39-46.
    Karypis, G., Han, E.-H., & Kumar, V. (1999). Chameleon: Hierarchical Clustering Using Dynamic Modeling. Computer, 32(8), 68-75. doi: 10.1109/2.781637.
    Keith, A. & Melanie, T. (2009). Information Visualization Evaluation. Wikiviz. Retrieved 2012/03/20 from http://www.wikiviz.org/wiki/Information_Visualization_Evaluation.
    Lederer, A. L., Donna J. M., Mark P. S., & Youlong, Z. (2000). The technology acceptance model and the World Wide Web. Decision Support Systems, 29(3), 269-282.
    McKeown, K., & Radev, D. R. (1995). Generating summaries of multiple news articles. Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval, Seattle, DC.
    Navigator. (n.d.). TouchGraph. Retrieved 2012/05/38 from: http://www.touchgraph.com/navigator.
    Novak, J., D., & Gowin, D. B. (1984). Learning how to learn. Cambridge, England: Cambridge University Press.
    Novak, J., D. (1990). Concept maps and vee diagrams: Two metacognitive tools to facilitate meaningful learning. Instructional Science, 19(1), 29-52.
    O’Donnell, A., M., Dansereau, D., F., & Hall, R., H. (2002). Knowledge maps as scaffolds for cognitive processing. Educational Psychology Review, 14(1), 71-86.
    Oliver, L. (2008). WAN 2008: Print and online newspapers on the rise. Journalism. Retrieved 2011/12/03 from: http://blogs.journalism.co.uk/2008/06/03/wan-2008-print-and-online-newspapers-on-the-rise/.
    Oliveira, A., Pereira, F. C., & Cardoso, A. (2001). Automatic reading and learning from text. Proceedings of the international symposium on artificial intelligence, Kolhapur, India.
    Ong, T.-H., H. Chen, et al. (2005). Newsmap: a knowledge map for online news. Decision Support Systems, 39(4): 583-597.
    Ou, S., Khoo, C. S. G., & Goh, D. H. (2006). Multi-document summarization of news articles using an event-based framework. ASLIB Proceedings, 58(3), 197-217. Retrieved 2011/11/30 from http://www.emeraldinsight.com/10.1108/00012530610677237
    Pepper, S. (2000). The TAO of topic maps. Paper presented at the XML Europe 2000, Paris, France.
    Peter E. (1984). A heuristic for graph drawing. Congressus Numerantium, 42(149), 160-163.
    Peter, M. & Jeffery, C. (2010). Search Pattern. New York, NY:O'Reilly Media.
    Plaisant, C. (2004). The challenge of information visualization evaluation. Proceedings of the working conference on Advanced visual interfaces. Gallipoli, Italy, ACM: 109-116.
    Pu, H.T., Chuang, S.L., & Yang, C. (2002). Subject categorization of query terms for exploring web users' search interests. Journal of the American Society for Information Science & Technology, 53(8), 617-630.
    Ramakrishnan Srikant Rakesh Agrawal
    Rakesh A., & Ramakrishnan S. (1995). Mining sequential patterns. Proceedings of 1995 International Conference on Data Engineering (ICDE’95), Taipei, Taiwan, 3–14.
    Shenk, D. (1997). Data smog : surviving the information glut. New York, NY: HarperEdge.
    Shneiderman, B. (1992). Tree visualization with tree-maps: A 2D space filling approach. ACM Transactions on Graphics, 11(1), 92–99.
    Shneiderman, B. (1996). The eyes have it: A task by data type taxonomy for information visualizations. Proceedings of the1996 IEEE Visual Languages, Boulder, C.O., 336–343.
    Silva, S. F., & Catarci, T. (2000). Visualization of Linear Time-Oriented Data: A Survey. Proceedings of the First International Conference on Web Information Systems Engineering (WISE'00), Hong Kong, China.
    So-net. (n.d.). Blog Keyword Visualizer, Retrieved 2011/12/10 from http://www.so-net.ne.jp/web2/bkv/.
    Touchgraph. (n.d.). Navigator. Retrieved 2012/03/21 from http://www.touchgraph.com.
    Tseng, Y., H. (1998). Multilingual keyword extraction for term suggestion. Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval, Melbourne, Australia.
    Tseng, Y., H. (n.d.). Knowledge Search Portal. Retrieved 2012/03/21 from http://ir.itc.ntnu.edu.tw/udn/search.aspx#.
    Tseng, Y., H., Chang, C., Y., Rundgren, S., N., C., & Rundgren, C., J. (2010). Mining concept maps from news stories for measuring civic scientific literacy in media. Computers & Education, 55(1), 165-177. doi: 10.1016/j.compedu.2010.01.002.
    Tufte, E., R. (1990). Envisioning Information. Cheshire, CT:Graphics Press.
    Weskamp, M. (2006). Newsmap. Retrieved 2011/11/20 from http://www.newsmap.jp.
    Yang, J., Luo, D., & Liu, Y. (2010). Newdle: Interactive Visual Exploration of Large Online News Collections. IEEE Computer Graphics and Applications, 30(5), 32-41. Retrieved 2011/12/03 from http://ieeexplore.ieee.org/search/srchabstract.jsp?arnumber=5556732.

    下載圖示
    QR CODE