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題名：索引典之自動化建置與視覺化
書刊名：圖書與資訊學刊
作者：林頌堅 引用關係
作者(外文)：Lin, Sung-chien
出版日期：2005
卷期：55
頁次：頁33-50
主題關鍵詞：索引典建置；資訊視覺化；術語選取；術語關係偵測；Thesaurus construction；Information visualization；Term selection；Term relation detection
原始連結：連回原系統網址new window
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  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:7
  • 點閱點閱:28
本論文描述自動化索引典建置與資訊視覺化的方法與結果。我們提出一個自動方法，依據文中的文字資訊，從無到有地建置索引典。這個方法利用統計訊息從論文的文字資訊中選取具有代表性的術語，偵測術語之間的概念關係，並利用資訊視覺化技術，將索引典資訊表示成直覺且資訊豐富的圖形。本論文以政大圖書與資訊學刊為對象，進行索引典建置與資訊視覺化的試驗，並且根據不同的用途，提出各檢索與瀏覽的使用方式。試驗結果說明了這個方法的可行性與效果。
This paper describes automatic methods for thesaurus construction and information visualization and their testing results. A method is developed to construct a thesaurus from scratch, using only the textual materials in the examined domain of papers as the main information resource. All the terms relevant to the domain are selected and their mutual conceptual relationships are detected, based on the statistical processing of the input texts. The selected terms and their conceptual relationships are applied to constructed thesaurus is also proposed by generating a set of graphs, in which the mapped positions of related terms are displayed in juxtaposition. These graphs are useful in showing the knowledge structure of the examined domain and very suitable for the applications of retrieval and browsing. In the study, on the basis of our proposed methods, we have performed tests on the textual materials selected from papers published by the periodical Bulletin of Library and Information Science, NCCU. Various usages of the graphs in the constructed thesaurus have been experimented in terms of different sorts of applications. The final results confirm the feasibility as well as the effectiveness of the two methods.
期刊論文
1.Flexer, A.(2001)。On the use of self-organizing maps for clustering and visualization。Intelligent Data Analysis，5(5)，373-184。  new window
2.Deerwester, S.(1990)。Indexing by latent semantic analysis。Journal of the American Society for Information Science，41(6)，391-407。  new window
3.Landauer, T. K.、Laham, D.、Derr, M.(2004)。From paragraph to graph: Latent semantic analysis for information visualization。Proceedings of the National Academy of Science of the USA，101，5214-5219。  new window
4.Kageura, K.、Umino, B.(1996)。Methods of automatic term recognition-- A review。Terminology，3(2)，259-289。  new window
5.Park, Y.、Han, Y.、Choi, K.(1995)。Automatic thesaurus construction using Bayesian networks。Proceedings of CKIM，95，212-217。  new window
6.Tseng, Y.-H.(2002)。Automatic thesaurus generation for Chinese documents。Journal of the American Society for Information Science and Technology，53(13)，1130-1138。  new window
7.Salton, G.、Yang, C. S.、Yu, C. T.(1975)。A Theory of term importance in automatic text analysis。Journal of the American Society for Information Science，26(1)，33-44。  new window
8.林頌堅(2002)。基於詞語抽取的圖書與資訊學刊研究主題分析。圖書與資訊學刊，47，15-35。new window  延伸查詢new window
9.林頌堅(2002)。圖書與資訊學刊的高頻詞語抽取與分析。圖書與資訊學刊，42，15-28。new window  延伸查詢new window
會議論文
1.Greffenstette, G.(1997)。SQLET: Short query linguistic expansion techniques, palliating one-word queries by providing intermediate structure to text。The RIAO'97 Conference--Computer-Assisted Information Searching on Internet，500-509。  new window
2.Crouch, C. J.、Yang, B.(1992)。Experiments in automatic statistical thesaurus construction。The 15th ACM SIGIR Conference on Research and Development in Information Retrieval，77-88。  new window
3.Mandala, R.、Tokunaga, T.、Tanaka, H.(1999)。Combining multiple evidence from different types of thesaurus for query expansion。The 22nd ACM SIGIR Conference on Research and Development in Information Retrieval，191-197。  new window
4.Merkl, D.(1997)。Exploration of text collections with hierarchical feature maps。The 20nd ACM SIGIR Conference on Research and Development in Information Retrieval，186-195。  new window
5.Sanderson, M.、Croft, B.(1999)。Deriving concept hierarchies from text。The 22nd ACM SIGIR Conference on Research and Development in Information Retrieval，206-212。  new window
6.林頌堅(2004)。以自組織映射圖探勘計算語言學研究發展之趨勢。2004年現代資訊組織與檢索研討會，69-77。  延伸查詢new window
7.林頌堅(2004)。以自組織映射圖進行計算語言學領域視覺化之研究。第十六屆自然語言與語音處理研討會，69-77。  延伸查詢new window
研究報告
1.Rundensteiner, E. A.、Ward, M. O.、Huang, S.(2003)。Exploration of Dimensionality Reduction for Text Visualization。  new window
圖書
1.Rowley, J. E.(1992)。Organizing knowledge。New York：Ashgate Publishing Limited。  new window
2.Soergel, D.(1985)。Organizing information--Principles of data base and retrieval systems。New York：Academic Press, Inc.。  new window
3.Salton, G.、McGill, M. J.(1983)。Introduction to modern informatioIntroduction to modern information Retrieval。New York：McGraw-Hill。  new window
4.Kohonen, T.(1989)。Self-organization and associative memory。New York：Berlin：Springer-Verlag。  new window
5.Salton, Gerard(1989)。Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer。Addison-Wesley。  new window
圖書論文
1.Card, S. K.、Mackinlay, J. D.、Shneiderman, B.(1999)。Information visualization。Readings in information visualization-- Using vision to think。Morgan Kaufmann。  new window
2.Hearst, M. A.(1998)。Automated discovery of WordNet relations。WordNet: an electronic lexical database。Cambridge, MA：MIT Press。  new window
 
 
 
 
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