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dc.contributorHuei-Chu Changen_US
dc.contributor.authorShih-Hsun Suen_US
dc.identifier.citation一、 中文資料 (一) 圖書 David Surowiecki著;楊玉齡譯,群眾的智慧:如何讓個人、團隊、企業與社會變得更聰明(THE WISDOM OF CROWDS:Why the Many Are Smarter than the Few and How Collective Wisdom Shapes Business, Economies, Societies, and Nations)。台北市: 遠流,民94年。 張慧銖。圖書館電子資源組織。新台北市: Airiti Press,民100年。 陳和琴等著。資訊組織。台北縣蘆洲市: 國立空中大學,民92年。 國家圖書館。中文主題詞表?2005年修訂版。台北市: 國家圖書館,民94年。 (二) 期刊論文 張淇龍和卜小蝶。「淺談Web 2.0與通俗分類於圖書資訊服務之應用」。圖書與資訊學刊57期 (民95年5月),頁78-79。 羅子文及柯皓仁。「Web 2.0概念的圖書館個人化推薦系統」。臺北市立圖書館館訊24卷4期 (民96年6月),頁7。 吳筱玫及周芷伊。「Tagging的分類與知識意涵:以Flickr首頁圖片為例」。新聞學研究99期 (民98年4月),頁269。 吳明德。「線上目錄的主題檢索」。圖書館學刊5期 (民76年),頁38。 盧秀菊。「中文主題標目與標題表」。中國圖書館學會會報59期 (民96年),頁25-42。 李宜容。「人文及社會學科讀者使用線上公用目錄檢索詞彙之研究」。大學圖書館2卷3期 (民87年7月),頁72-104。 李美燕。「線上公用目錄使用行為初探:交易處理記錄分析」。政大圖資通訊8期 (民83年),頁72-104 曾繁絹。「中文標題檢索效益之研究—以國立臺灣大學TULIPS系統為例」。大學圖書館 2卷1期(民87年),頁100-123。 (三) 博碩士論文 遊子賢。「通俗分類標記之自動組織」。臺灣大學,碩士論文,民85年。 林慶文。「以大眾分類法為基礎之網站內容分類架構—以社群書籤網站為例」。中原大學,碩士論文,民86年。 張慈育。「大眾標記法應用於考古文物描述之研究:以國小五年級學生標記十三行博物館文物為例」。臺灣大學,碩士論文,民88年。 梁文馨。「以視覺化標籤雲輔助圖書標記之使用者研究」。台灣大學,碩士論文,民101年。 邱韻玲。「國立清華大學線上公用目錄使用調查 — 讀者查詢過程記錄分析」。國立台灣大學圖書館學研究所,碩士論文,民83年。 張素卿。「從線上目錄主題檢索詞彙來探討主題編目工作-以私立東吳大學圖書館為例」。淡江大學資訊與圖書館學系,碩士論文民90年。 (四) 網路資源 Flickr。「Flickr 上的「熱門標籤」。2010年10月27日27 October 2010。<> (2010年10月27日)。 國家圖書館。國家圖書館編目園地。2013年3月26日。<>(2013年3月31日)。 豆瓣。?于豆瓣,2014年。<>(2014年7月9日)。 中國大百科全書。中國大百科智慧藏。2001年。<>(2011年6月8日)。 二、 西文資料 (一) Books Arlene G. 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'Comparative Searching Styles of Patrons and Staff.' Library Resources and Technical Services 38:3 (1994): 300. Terry Ballard. 'Comparative Searching Styles of Patrons and Staff.' Library Resources and Technical Services 38:3 (1994): 300. Thomas Basista, H. Mary Micco and Linda Rambler. 'Designing the OPAC User Interface to Improve Access and Retrieval.' Microcomputers for Information Management 8:2 (1991): 91-100. Thomas Gruber. 'Ontology of Folksonomy:A Mash-up of Apples and Oranges.' journal on Semantic Web and Information Systems 3:2 (2007): 1-11. Tom Gruber. 'Collective Knowledge Systems: Where The Social Web Meets the Semantic Web.' Web Semantics: Science, Services and Agents on the World Wide Web 6:1 (2008): 4-13. Yael Keshet. 'Classification Systems in the Light of Sociology of Knowledge. ' Journal of Documentation 67:1 (18 Janury 2011): 153-155, doi:10.1108/00220411111105489. (三) Proceedings Alexandre Passant. 'Using Ontologies to Strengthen Folksonomies and Enrich Information Retrieval in Weblogs.' in Proceedings of International Conference on Weblogs and Social Media, Boulder, Colorado, US, 26-28 March 2007, <> (6 October 2010). Atefeh Sharif. 'Combining Ontology and Folksonomy:An Integrated Approach to Knowledge Representation.' in IFLA 2009 Satellite Meetings, Florence, Italy, Milan, <> (6 October 2010). Dimitris Gavrilis, Constantia Kakali, and Christos Papatheodorou.'Enhancing Library Services with Web 2.0 Functionalities.'in Proceedings of the 12th European conference on Research and Advanced Technology for Digital Libraries (Aarhus, Denmark: Springer-Verlag, 2008), 148-159. Jane Hunter, Imran Khan, and Anna Gerber. 'Harvana: Harvesting Community Tags to Enrich Collection Metadata.' in 8th ACM/IEEE-CS joint conference on Digital libraries(Pittsburgh, PA, USA, 2008), 147-156. Katrin Weller. 'Folksonomies and Ontologies: Two New Players in Indexing and Knowledge Representation.' in Applying Web 2.0. Innovation, Impact and Implementation: Online Information 2007 Conference Proceedings (London, 2007), 108-115, <> (6 October 2010). Marlow Cameron, Mor Naaman, Danah Boyd, and Marc Davis.'HT06, Tagging Paper, Taxonomy, Flickr, Academic Article, To Read.'in Proceedings of the seventeenth conference on Hypertext and hypermedia, 31–40. HYPERTEXT ''06. (New York, USA: ACM, 2006), 32. Quintarelli Emanuele. 'Folksonomies: Power To the People.' in Proceedings of ISKO Italy-UniMIB meeting, (Milan ,Italy, 2005). <> (17 August 2010). Paul Heymann and Hector Garcia-Molina. 'Contrasting Controlled Vocabulary and Tagging: Do Experts Choose the Right Names to Label the Wrong Things?' in Second ACM International Conference on Web Search and Data Mining (WSDM 2009), Late Breaking Results Session (Stanford InfoLab, 2009), 1-4, <> (6 October 2010). Sarah Hayman and Nick Lothian. 'Taxonomy Directed Folksonomies: Integrating User Tagging and Controlled Vocabularies for Australian Education Networks.' in World Library And Information Congress: 73rd IFLA General Conference And Council, Durban, South Africa, 2007), <> (6 October 2010). Shilad Sen, Shyong K Lam, Al Mamunur Rashid, Dan Cosley, Dan Frankowski, Jeremy Osterhouse, Harper F. Maxwell, and John Riedl. 'Tagging, Communities, Vocabulary, Evolution.' In Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work (New York, USA, 2006), 184. <> (17 August 2010). Sofia Angeletou, Marta Sabou, and Enrico Motta. 'Folksonomy Enrichment and Search.' in Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications, ESWC 2009 Heraklion (presented at the European Semantic Web Symposium / Conference, Heraklion, Crete, Greece, 2009), 801–805, <> (6 October 2010). Sofia Angeletou, Marta Sabou, and Enrico Motta. 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dc.description.abstract圖書館目錄的其中一項目的是為了便利讀者以「主題」這個概念找到所需要的資料,因此館員們花了許多心思來選擇適當的主題詞來描述文件,但從相關研究中卻發現,主題詞使用頻率已逐漸遞減,究其原因,乃由於主題詞係由專家所選定,是一種受控制的詞彙,而非使用者常用的詞彙,由於這類詞彙並非自然語言,故無論其語意或是結構經常是讀者所無法理解的,更不用談及使用它了;此外中文主題詞表的更新速度與美國國會標題表相比,有相當大的差距。本研究試圖瞭解大眾標記詞的特徵以及用以輔助中文主題詞表的可行性,採用系統實作法來蒐集豆瓣標記詞,並透過量化統計來分析法標記詞的特性,並問卷法及訪談法詢問十位大學生、十位研究生及九位專業編目館員。 從豆瓣蒐集到的標記詞經過分析,可以發現語言文學的平均標記詞數量為最多,同時也有最多的標記次數,社會科科學類的標記詞是數量第二多的主題類型,此外九成五的圖書只標記50個以下的標記詞。而標記詞與主題詞的比較,可以發現不分主題類型的標記詞與主題詞有很高比例的重疊性,而且即便是只被標記一次的詞彙都適合用做主題詞。此外也發現受測者認為有許多標記詞是與主題詞是呈現同義關係,但多數也提到同義的判斷需要考慮情境因素,但整體而言編目館員對於同義詞的判斷較大學生及研究生嚴謹。受測者也提到圖書的標記詞太過少,在意義的表達上有些也太過於粗略,因此贊同利用大眾標記詞來做為主題詞表擴充的來源,但也同時提到一樣要考慮情境的因素,並且認同標記詞的確是較貼近讀者的用語。 本研究認為要轉化大眾標記詞為主題詞的模型應該要有的幾個重要步驟:一、透過已存在的圖書ISBN取得大眾標記詞,如此可以確保標記詞的出現是因為特定的圖書及目的。二、過濾掉已存在於主題詞表的詞彙,剩餘的標記詞理論上都有被視為主題詞表新增詞彙的價值。三、蒐集到大眾標記詞應該以不同分類號做為對標記詞的基本分類,藉此區分標記詞的主題範圍。四、過濾出被重覆標記於100本圖書中的標記詞。zh_TW
dc.description.abstractOne of library catalog purposes is to facilitate the reader to 'topic' concept to find the information needed. Librarians have spent a lot of thought to selecting the appropriate keywords to describe the document.However, relevant studies have found subject heading have been gradually decreasing frequency of use. The reason is due to the subject heading that selected by the expert and subject heading is a controlled vocabulary that, instead of the user common. As these words are not natural language, so regardless of their semantic or structure is often incomprehensible to readers, not to talk about using it. Also the update rate of Chinese Subject Heading compared with the Library of Congress Subject Headings, there is a considerable gap. This study attempts to understand the characteristics of the folksonomy and the feasibility to assist Chinese Subject Headings. Actual practice using the system to collect Douban's tags,and to use the quantify statistical method to analyze the characteristics of the tags, and to use questionnaires and interviews to ask ten students, ten graduate students and nine professional cataloging librarian. After analysis the tags that collected from Douban can be found that the average number of language and literature classes of tag number is the most and the social sciences is second. In addition 95 percent of books only mark 50 or less tags. Regardless of type of topic tags and subject headings has a high percentage of overlap. Even if only one is marked words are suitable for use as subject headings. The study also found that many tags is synonymous relationship with subject headings.But situational factors need to be considered synonymous judge.Overall, cataloging librarian for more stringent synonym judgment.The subjects were also mentioned that too few subject heading of book, some are also too rough in the sense of the expression . Therefore agreed to use folksonymy do is expand subject headings, like to consider situational factors. This study suggests that conversion of folksonymy as subject heading model should have several important steps:1. Achieved tag that through existing ISBN of books can ensure that there is due to the particular books and purpose.2. Filter out the vocabulary already exists in the subject headings, and then the remaining tags is worth as the new vocabulary of subject headings.3.The tgas that should use mark its' classification,thereby distinguishing tag term range of topics.4. Filtering out the tag to be repeated in 100 books.en_US
dc.description.tableofcontents第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的與問題 4 第三節 研究方法 5 第四節 研究範圍與限制 5 第五節 名詞解釋 7 第二章 文獻分析 13 第一節 大眾標記 14 第二節 豆瓣讀書網 24 第三節 主題詞表 30 第四節 大眾標記與控制詞彙間的相關研究 37 第三章 研究設計與實施 59 第一節 研究架構 59 第二節 研究方法與工具 60 第三節 研究對象 63 第四節 研究抽樣及施測方式 63 第五節 研究步驟與實施程序 64 第六節 資料整理與分析方法 66 第四章 研究結果與討論 69 第一節 蒐集到的豆瓣標記詞特徵分析 69 第二節 受測者對大眾標記詞與主題詞間的關係判斷 86 第三節 受測者訪談內容整理 97 第四節 綜合討論 105 第五章 結論與建議 111 第一節 結論 111 第二節 建議 113 第三節 後續研究建議 114 參考書目 117 附錄一 大學生與研究生填答之問卷 129 附錄二 館員填答之問卷 142zh_TW
dc.subjectSocial taggingen_US
dc.subjectList of Chinese Subject Termsen_US
dc.titleA Study of the Characteristics of Douban Tags and the Feasibility of Using Douban Tags to Supplementing the List of Chinese Subject Termsen_US
dc.typeThesis and Dissertationen_US
item.openairetypeThesis and Dissertation-
item.fulltextwith fulltext-
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