簡易檢索 / 詳目顯示

研究生: 鄭智遠
Chih-Yuan Cheng
論文名稱: 以鏈結資料為基礎之電影資訊系統發展與評估
Development and Evaluation of Linked Data-based Movie Information System
指導教授: 柯皓仁
Ke, Hao-Ren
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: 2015
畢業學年度: 103
語文別: 中文
論文頁數: 85
中文關鍵詞: 鏈結資料RDFSPARQL使用性量表
英文關鍵詞: Linked Data, RDF, SPARQL, System Usability Scale
DOI URL: https://doi.org/10.6345/NTNU202205589
論文種類: 學術論文
相關次數: 點閱:208下載:3
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
  •   綜觀自電影的長久發展,已累積了數以萬計部電影,而數位科技的蓬勃發展,使得民眾得以迅速且輕鬆的獲取電影資訊,但對於如此龐大資料來說,則衍生了資訊分散、重複性和不一致的問題。著眼於此,本研究藉由內容管理系統建構一套電影資料平台,並以鏈結資料技術,加入網上活躍且持續使用的知識本體,例如dbpedia-owl、音樂知識本體和書目知識本體,作為系統欄位的RDF標準,將資料轉換成鏈結資料,再透過SPARQL查詢語法,向網上開放的電影相關音樂資料集、電影相關書籍資料集請求資料,將開放鏈結資料整合並重複使用至電影資訊系統中,並將系統發布。最後藉由系統使用性量表來評估本研究所開發之鏈結資料電影資訊系統的使用性,了解使用者對本系統的接受度。
      本研究主要達成建立一套以鏈結資料為基礎的電影資訊系統,使用鏈結的方式使電影內容更加豐富且提升鏈結資料的閱讀性,系統使用性量表達到標準,本系統的使用性對使用者而言是可被接受的。

      There are tens of thousands of movies created since the development of films. Due to the modern technology, people get quick and easy access to movie information. However, for such a large data, there are problems derived like information scattering, duplication and inconsistency. Therefore, this studycreates a movie information platform by thecontent management system Drupal.Thisplatformusesthe LinkedData technology to combine online popular ontologiessuch as dbpedia-owl, music ontology, bibliographic ontology. The movie data is modeled according to the abovementioned ontologies, and converted into liked data using RDF.In addition, SPARQL queries are employed to integrate film-related data such as linked music data, and linked book data. Finally, this study evaluates this linked data-based movie information system by the System Usability Scale (SUS) to understand user usability and acceptance of the system.The results of this study are summarized as follows: (1) establishing a linked data-based movie information system; (2) using linked data to enrich the movie information and enhance readability; (3) the SUS evaluations show that this system’s usability is acceptable.

    摘要 I ABSTRACT II 目次 III 表次 V 圖次 VI 第一章 緒論 1 第一節 背景與動機 2 第二節 研究目的 6 第三節 研究流程 7 第四節 研究範圍與限制 9 第二章 文獻探討 10 第一節 語意網 10 第二節 鏈結資料 16 第三節 RDF與SPARQL概述 22 第四節 系統使用性量表 27 第三章 研究方法 31 第一節 資料集 31 第二節 開發環境和平臺 39 第三節 系統流程與架構 43 第四章 系統建構 46 第一節 內容建置 46 第二節 資料處理與轉換 50 第三節 連結資料與發佈 58 第五章 系統展示與評估 69 第一節 系統展示 69 第二節 系統使用性評估 74 第六章 結論與建議 79 第一節 結論 79 第二節 未來建議 81 參考文獻 82

    林鼎舜(2011)。運用語意網推論技術建構醫院門診推薦系統之研究。未出版之碩士論文,國防大學管理學院資訊管理學系,桃園縣。
    柯皓仁、陳亞寧(2013,11月)。鏈結資料在圖書館的應用。在全國學術電子資訊資源共享聯盟,海量資料:學術研究新境界研討會,臺北市。
    陳科富(2010)。開發國小植物教學語意查詢系統。未出版之碩士論文,南華大學資訊管理學系,嘉義縣。
    Aaron, B., Philip, K. & James, M. (2009).Determining What Individual SUS Scores Mean: Adding an Adjective Rating Scale. Journal of usability studies, 4(3), 114-123.
    Becker, C. & Bizer, C. (2008, April). DBpedia mobile: A location-enabled linked data browser. Paper presented at the 1st Workshop about Linked Data on the Web (LDOW2008), Beijing, China.
    Benjamin, M. (2011). Bringing Linked Data to Drupal; bringing the Semantic Web to the World[OL]. Retrieved from http://data.agaric.com/node/2700.
    Benjamin, M. (2011). RDF’s long lineage in Drupal[OL]. Retrieved from http://data.agaric.com/node/2642.
    Benjamins, V. R., Fensel, D., Decker, S., & Perez, A. G. (1999). (KA)2: Building ontologies for the Internet: A mid-term report. International Journal of Human-Computer Studies, 51(3), 687-712.
    Bermudez, L. E. (2004). Ontomet: Ontology metadata framework (Doctoral dissertation, Drexel University). Retrieved from http://idea.library.drexel.edu/bitstream/1860/376/8/Bermudez_Luis.pdf
    Berners-Lee, T. (1998).Relational databases on the semantic web. Retrieved from http://www.w3.org/DesignIssues/RDB-RDF.html
    Berners-Lee, T. (1998).Semantic web road map. Retrieved from http://www.w3.org/DesignIssues/Semantic.html
    Berners-Lee, T. (2006).Linked Data.Retrieved from http://www.w3.org/DesignIssues/LinkedData.html
    Berners-Lee, T., & Hendler, J. (2001).Publishing on the semantic web. Nature, 410(6832), 1023-1024.
    Berners-Lee, T., Hendler, J., & Lassila, O. (2001).The semantic web. Scientific American, 284(5), 28-37.
    Berners-Lee, T.; Hendler, J. & Lassila, O. (2001).The Semantic Web. Scientific American, 284(5), 34-43.
    Bizer, C., & Cyganiak, R. (2006, November). D2R server: Publishing relational databases on the semantic web. Poster session presented at the 5th International Semantic Web Conference, Athens, USA.
    Bizer, C., Heath, T., & Berners-Lee, T. (2009).Linked data-the story so far. International Journal on Semantic Web and Information Systems, 5(3), 1-22.
    Bizer, C., Heath, T., Ayers, D., & Raimond, Y. (2007).Interlinking open data on the web. Poster session presented at the 4th European Semantic Web Conference, Innsbruck, Austria.
    Brooke, J. (1996). SUS-A quick and dirty usability scale. Usability evaluation in industry, 189(194), 4-7.
    Harrison-Walker, L. J. (2001). The measurement of word-of-mouth communication and an investigation of service quality and customer commitment as potential antecedents. Journal of Service Research, 4(1), 60-75. doi: 10.1177/109467050141006
    Maedche, A., Staab, S., Studer, R., Sure, Y., & Volz, R. (2002). SEAL - Tying up information integration and web site management by ontologies. IEEE Data Engineering Bulletin, 25(1), 10-17.
    Miller, E. (2004). The semantic web: A web of machine processible data. Retrieved from http://www.w3.org/2004/Talks/0908-egov-em/
    Miller, E. (2004). Weaving meaning: An overview of the semantic web. Retrieved from http://www.w3.org/2004/Talks/0120-semweb-umic
    Nielsen, J., & Mack, R. L. (Eds.) (1994). Usability Inspection Methods . New York, NY: John Wiley & Sons.
    Sauro, J. (2011). Measuring Usability With The System Usability Scale (SUS). Retrieved from http://www.measuringu.com/sus.php
    Sauro, J. (2013). 10 Things To Know About The System Usability Scale (SUS). Retrieved from http://www.measuringu.com/blog/10-things-SUS.php
    Zhao, J., Klyne, G., & Shotton D. (2010) Provenance and Linked Data in Biological Data Webs. Paper presented at Proceedings of LDOW2008. Beijing, China. Retrieved from http://events.linkeddata.org/ldow2008/papers/07-zhao-klyne-provenance-linked-data.pdf

    下載圖示
    QR CODE