請用此 Handle URI 來引用此文件: http://hdl.handle.net/11455/89053
標題: A Study of the Characteristics of Douban Tags and the Feasibility of Using Douban Tags to Supplementing the List of Chinese Subject Terms
豆瓣標記詞特徵分析及其輔助中文主題詞表之可行性研究
作者: 蘇士勛
Shih-Hsun Su
關鍵字: 大眾標記詞
社會性標記
中文主題詞表
豆瓣
Folksonomy
Social tagging
List of Chinese Subject Terms
Douban
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摘要: 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。
One 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.
URI: http://hdl.handle.net/11455/89053
其他識別: U0005-2811201416184128
文章公開時間: 2014-08-31
顯示於類別:圖書資訊學研究所

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