政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/37123
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113656/144643 (79%)
Visitors : 51726886      Online Users : 490
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
    •  Adv. Search
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/37123


    Title: 中文訴訟文書檢索系統雛形實作
    A Prototype of Information Services for Chinese Judicial Documents
    Authors: 藍家樑
    Lan, Chia Liang
    Contributors: 劉昭麟
    Liu, Chao Lin
    藍家樑
    Lan, Chia Liang
    Keywords: 法學資訊系統
    自然語言處理
    階層式分群法
    k最近鄰居法
    Date: 2008
    Issue Date: 2009-09-19 12:12:11 (UTC+8)
    Abstract: 訴訟案件與日俱增，欲閱讀完所有案件顯然不容易，此時便需要一套較完善的檢索系統來輔助使用者。我們整合前人的相關研究成果，實作一套分群式檢索系統的雛形，依檢索條件搜尋相關案件，並將結果分群輸出，便於使用者對各群集進行查詢，以期減少使用者閱讀案件上的負擔，同時獲得較完整資訊。另設計文件標記與註解功能，供使用者建立個人化資料庫，便於日後檢索。
    當輸入為關鍵詞時我們利用階層式分群法來為結果作分群，也以共現詞彙的概念建立的索引，列出可能的相關詞彙提供使用者作查詢；檢索條件亦可輸入一段犯罪事實，系統透過k最近鄰居法的概念，找到相似的案件，依照案由分群。另外也可以透過判決刑期分佈針對特定區間作檢索。
    本系統難以進行較正規的實驗，因為這是一個使用者互動的系統，而適不適用也難有一個評定標準。我們從使用者的執行效率，以及對於分群結果的相似度與判決刑期統計來分析與討論，檢驗本系統對使用者的助益以及討論系統本身須要再改善之處。
    Because cumulative number of the judgments grows unceasingly, it is obviously not easy for the users to read all the judicial documents. They need a handier system to retrieve the judgment information. We present a prototype of clustering retrieval system for Chinese judicial documents. The system can automatically cluster and integrate the search results. It is easy for the users to focus on the information they need and pass over the others. When they read a judicial document, they can mark some parts of sentences or annotate some comments if they are interested in. We let them create the personalized database and search more easily.
    We can type a keyword, and then our system executes the hierarchical clustering method to cluster search results. We also can view some words which may be relative to the keyword from the collocation word lists. Besides we can input a crime description, and then our system executes the k-nearest neighbor method to classify the crime into some prosecution reason and provide the similar cases. Moreover, our system lets the users view the distribution of prison sentence lengths and the documents in the specific interval.
    A formal evaluation of our system is not easy because this is an interactive system. We cannot definitely judge whether it is helpful or unhelpful. We evaluated the efficiency of our system by the operations of human subjects.
    Besides we made some statistics about the similarity and the distribution of prison sentence lengths from the clustering results. We tried to discuss the help by our system for users and how to improve the system.
    Reference: [1] HowNet電子詞典，http://www.keenage.com/，最後造訪日期2009/1/7。
    [2] HSQLDB資料庫，http://hsqldb.sourceforge.net/，最後造訪日期2009/1/7。
    [3] Lucene全文檢索引擎，http://lucene.apache.org/，最後造訪日期2009/1/7。
    [4] SQLite資料庫，http://www.sqlite.org/，最後造訪日期2009/1/7。
    [5] 中研院CKIP中文斷詞系統，http://ckipsvr.iis.sinica.edu.tw/，最後造訪日期2009/1/7。
    [6] 司法院法學資料檢索系統，http://jirs.judicial.gov.tw/，最後造訪日期2009/1/7。
    [7] 司法院統計處，http://www.judicial.gov.tw/Juds/，最後造訪日期2009/1/7。
    [8] 司法院網站，http://www.judicial.gov.tw/，最後造訪日期2009/1/7。
    [9] 全國法規資料庫，http://law.moj.gov.tw/，最後造訪日期2009/1/7。
    [10] 何君豪，階層式分群法在民事裁判要旨分群上之應用，碩士論文，國立政治大學資訊科學系，2007。
    [11] 呂明欣和王加元，建構一個簡單的字彙網，自然語言處理學期報告，2007。
    [12] 李剛、宋傳和邱哲，征服Ajax+Lucene建構搜尋引擎，文魁資訊，2006。
    [13] 孟維德，犯罪熱點之研究，刑事政策與犯罪論文集（五），法務部犯罪研究中心編印，93–116，2002。
    [14] 張正宗，電腦輔助簡易刑事判決技術之探討，碩士論文，國立政治大學訊科學系，2003。
    [15] 張智星，資料群聚與樣式辨認，網路線上課程，可由作者之網頁 http://www.cs.nthu.edu.tw/~jang連結到此線上教材。
    [16] 鄭人豪，中文詞彙集的來源與權重對中文裁判書分類成效的影響，碩士論文，國立政治大學資訊科學系，2007。
    [17] 謝淳達，利用詞組檢索中文訴訟文書之研究，碩士論文，國立政治大學資訊科學系，2005。
    [18] R. Baeza-Yates and B. Ribeiro-Neto, Modern Information Retrieval, Addison Wesley, 1999.
    [19] J. Han and M. Kamber, Data Mining: Concept and Techniques, Morgan Kaufmann, 2001.
    [20] M. A. Hearst, Clustering Versus Faceted Categories for Information Exploration, Communications of the ACM, Volume 49, Issue 4, 59–61, 2006.
    [21] C. R. Huang, A. Kilgarriff, Y. Wu, C. M. Chiu, S. Smith, P. Rychlý, M. H. Bai and K. J. Chen, Chinese Sketch Engine and the Extraction of Collocations, Proceedings of the Fourth SIGHAN Workshop on Chinese Language Processing, 48–55, 2005.
    [22] J. Y. Jian, Y. C. Chang and J. S. Chang, TANGO: Bilingual Collocational Concordanc-er, Proceedings of the ACL 2004 on Interactive Poster and Demonstration Sessions, Article No. 19, 2004.
    [23] K. S. Jones, A Statistical Interpretation of Term Specificity and Its Application in Re-trieval, Journal of Documentation, Volume 28, 11–21, 1972.
    [24] K. Kummamuru, R. Lotlikar, S. Roy, K. Singal, and R. Krishnapuram, A Hierarchical Monothetic Document Clustering Algorithm for Summarization and Browsing Search Re-sults, Proceedings of the thirteenth International Conference on World Wide Web, 658–665, 2004.
    [25] H. P. Luhn, A Statistical Approach to Mechanized Encoding and Searching of Literary Information, IBM Journal of Research and Development, Volume 1, No. 2, 309–317, 1957.
    [26] T. O’Reilly, What is Web 2.0–Design Patterns and Business Models for the Next Gen-eration of Software, Web 2.0 Report, O`Reilly, 2005.
    [27] E. L. Rissland, K. D. Ashley and L. K. Branting, Case-based Reasoning and Law, The Knowledge Engineering Review, 293–298, 2006.
    [28] G. Salton, A. Wong and C. S. Yang, A Vector Space Model for Automatic Indexing, Communications of the ACM, Volume 18, Issue 11, 613–620, 1975.
    [29] E. Schweighofer, G. Haneder, A. Rauber and M. Dittenbach, Improvement of Vector Representations of Legal Documents with Legal Ontologies, Proceedings of the Fifth In-ternational Conference on Business Information Systems, 2002.
    [30] F. Smadja, Retrieving Collocations from Text: Xtract, Computational Linguistics，Volume 19, Issue 1, 143–177, 1993.
    [31] Y. H. Tseng, Yu-Chin Tsai, Chi-Jen Lin, Comparison of Global Term Expansion Me-thods for Text Retrieval, Proceedings of the Fifth NTCIR Workshop, 2005.
    [32] J. Xu and W. B. Croft, Query Expansion Using Local and Global Document Analysis, Proceedings of the Nineteenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 4–11, 1996.
    [33] H. Zeng, Q. He, Z. Chen, W. Ma, and J. Ma, Learning to Cluster Web Search Results, Proceedings of the Twenty-seventh Annual International ACM SIGIR Conference on Re-search and Development in Information Retrieval, 2004.
    Description: 碩士
    國立政治大學
    資訊科學學系
    95753042
    97
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0957530421
    Data Type: thesis
    Appears in Collections:[Department of Computer Science ] Theses

    Files in This Item:

    File Description SizeFormat
    042101.pdf344KbAdobe PDF21012View/Open
    042102.pdf160KbAdobe PDF2940View/Open
    042103.pdf373KbAdobe PDF2978View/Open
    042104.pdf359KbAdobe PDF21032View/Open
    042105.pdf396KbAdobe PDF21019View/Open
    042106.pdf486KbAdobe PDF22263View/Open
    042107.pdf709KbAdobe PDF21680View/Open
    042108.pdf916KbAdobe PDF21081View/Open
    042109.pdf954KbAdobe PDF21676View/Open
    042110.pdf724KbAdobe PDF2966View/Open
    042111.pdf616KbAdobe PDF2985View/Open
    042112.pdf709KbAdobe PDF21193View/Open
    042113.pdf411KbAdobe PDF21359View/Open
    042114.pdf1924KbAdobe PDF22740View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback