{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T13:15:11Z","timestamp":1780578911164,"version":"3.54.1"},"reference-count":42,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2013,1,3]],"date-time":"2013-01-03T00:00:00Z","timestamp":1357171200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Am Soc Inf Sci Tec"],"published-print":{"date-parts":[[2013,2]]},"abstract":"<jats:p>Applying text mining techniques to legal issues has been an emerging research topic in recent years. Although some previous studies focused on assisting professionals in the retrieval of related legal documents, they did not take into account the general public and their difficulty in describing legal problems in professional legal terms. Because this problem has not been addressed by previous research, this study aims to design a text\u2010mining\u2010based method that allows the general public to use everyday vocabulary to search for and retrieve criminal judgments. The experimental results indicate that our method can help the general public, who are not familiar with professional legal terms, to acquire relevant criminal judgments more accurately and effectively.<\/jats:p>","DOI":"10.1002\/asi.22767","type":"journal-article","created":{"date-parts":[[2013,1,3]],"date-time":"2013-01-03T14:51:55Z","timestamp":1357224715000},"page":"280-290","source":"Crossref","is-referenced-by-count":26,"title":["A text mining approach to assist the general public in the retrieval of legal documents"],"prefix":"10.1002","volume":"64","author":[{"given":"Yen\u2010Liang","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Information Management National Central University  Chung\u2010Li, No. 300, Jhongda Road Jhongli City Taoyuan County 32001 Taiwan (R.O.C.)"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi\u2010Hung","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Information Management National Central University  Chung\u2010Li, No. 300, Jhongda Road Jhongli City Taoyuan County 32001 Taiwan (R.O.C.)"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wu\u2010Liang","family":"Ho","sequence":"additional","affiliation":[{"name":"Department of Legal Service Straits Exchange Foundation  No. 536, Beian Road, Zhongshan District Taipei City 10465 Taiwan (R.O.C.)"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2013,1,3]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8640.2010.00365.x"},{"key":"e_1_2_7_3_1","volume-title":"Modern information retrieval","author":"Baeza\u2010Yates R.","year":"1999"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.3233\/JCS-2010-0371"},{"key":"e_1_2_7_5_1","unstructured":"Calvo R.A.(2001).Classifying Financial News With Neural Networks Proc. of the 6th Australasian Document Computing Symposium."},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-4571(198705)38:3<171::AID-ASI6>3.0.CO;2-S"},{"key":"e_1_2_7_7_1","unstructured":"Chen C.\u2010H. &Chi J.Y.P.(2010).Use text mining to generate the draft of indictment for prosecutor.PACIS 2010 proceedings.706\u2013712."},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2010.06.001"},{"key":"e_1_2_7_9_1","doi-asserted-by":"crossref","unstructured":"Chou S.C. &Hsing T. P.(2010).Text Mining Technique for Chinese Written Judgment of Criminal Case.IEEE Intelligence and Security Informatics Conference.113\u2013125.","DOI":"10.1007\/978-3-642-13601-6_14"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2007.48"},{"key":"e_1_2_7_11_1","unstructured":"CKIP. (2011).On\u2010line Chinese words segmented service. Retrieved October 1 2011 fromhttp:\/\/ckipsvr.iis.sinica.edu.tw\/."},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-14400-4_37"},{"key":"e_1_2_7_13_1","volume-title":"Google distance between words","author":"Evangelista A.","year":"2006"},{"key":"e_1_2_7_14_1","volume-title":"The text mining handbook: advanced approaches in analyzing unstructured data","author":"Feldman R.","year":"2007"},{"key":"e_1_2_7_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/312624.312682"},{"issue":"1","key":"e_1_2_7_16_1","first-page":"19","article-title":"A brief survey of text mining. LDV\u2010Forum GLDV Journal for Computational Linguistics and Language","volume":"20","author":"Hotho A.","year":"2005","journal-title":"Technology"},{"key":"e_1_2_7_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2010.11.003"},{"key":"e_1_2_7_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2006.11.006"},{"key":"e_1_2_7_19_1","first-page":"732","article-title":"Automated scientific document retrieval","volume":"20105","author":"Kaur J.","year":"2010","journal-title":"The 2nd International Conference on Computer and Automation Engineering"},{"key":"e_1_2_7_20_1","doi-asserted-by":"publisher","DOI":"10.1587\/transinf.E94.D.552"},{"key":"e_1_2_7_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/0306-4573(89)90100-3"},{"key":"e_1_2_7_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2007.190740"},{"key":"e_1_2_7_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2009.09.003"},{"key":"e_1_2_7_24_1","doi-asserted-by":"crossref","unstructured":"Moens M.F.(2001).Innovative techniques for legal text retrieval.Artificial Intelligence and Law 29\u201357.","DOI":"10.1023\/A:1011297104922"},{"key":"e_1_2_7_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2006.06.001"},{"key":"e_1_2_7_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/361219.361220"},{"key":"e_1_2_7_27_1","volume-title":"Introduction to modern information retrieval","author":"Salton G.","year":"1983"},{"key":"e_1_2_7_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/0306-4573(88)90021-0"},{"key":"e_1_2_7_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/175235.175243"},{"key":"e_1_2_7_30_1","doi-asserted-by":"publisher","DOI":"10.1002\/asi.21001"},{"key":"e_1_2_7_31_1","doi-asserted-by":"crossref","unstructured":"Thomaidou S. &Vazirgiannis M.(2011).Multiword keyword recommendation system for online advertising. Proceedings of 2011 International Conference on Advances in Social Networks Analysis and Mining 423\u2013427.","DOI":"10.1109\/ASONAM.2011.70"},{"key":"e_1_2_7_32_1","doi-asserted-by":"publisher","DOI":"10.1108\/02635570810847608"},{"key":"e_1_2_7_33_1","doi-asserted-by":"crossref","unstructured":"Velardi P. Navigli R. Cucchiarelli A. &D'Antonio F.(2008).A new content\u2010based model for social network analysis.Proceedings of IEEE International Conference on Semantic Computing 2008 18\u201325.","DOI":"10.1109\/ICSC.2008.30"},{"key":"e_1_2_7_34_1","doi-asserted-by":"crossref","unstructured":"Wang J. Wang B. Duan L.\u2010y. Tian Q. &Lu H.(2011).Interactive ads recommendation with contextual search on product topic space.Multimedia Tools and Applications &\u201322.","DOI":"10.1007\/s11042-011-0866-2"},{"key":"e_1_2_7_35_1","unstructured":"Yin H.(2007).Method and system of knowledge based search engine using text mining.Google Patents US Patent 7257530."},{"key":"e_1_2_7_36_1","doi-asserted-by":"publisher","DOI":"10.1002\/asi.21206"},{"key":"e_1_2_7_37_1","unstructured":"Zheng W. Milios E. &Watters C.(2002)Filtering for medical news items using a machine learning approach.AMIA Annual Symposium Proceedings 949\u2013953."},{"key":"e_1_2_7_38_1","doi-asserted-by":"publisher","DOI":"10.1002\/asi.20316"},{"key":"e_1_2_7_39_1","unstructured":"JudicialYuan. (2011).Law and regulations retrieving system of the Judicial Yuan of The Republic of China. Retrieved fromhttp:\/\/jirs.judicial.gov.tw\/Index.htm"},{"key":"e_1_2_7_40_1","unstructured":"LexisNexis. (2012).A web\u2010based legal database system. Retrieved fromhttp:\/\/www.lexisnexis.com\/"},{"key":"e_1_2_7_41_1","unstructured":"Westlaw. (2012).A web\u2010based legal information database system. Retrieved fromhttp:\/\/international.westlaw.com\/"},{"key":"e_1_2_7_42_1","unstructured":"Wikipedia. (2012).The definition of Normailzed Google distance. Retrieved fromhttp:\/\/en.wikipedia.org\/wiki\/Normalized_Google_distance"},{"key":"e_1_2_7_43_1","unstructured":"Udn News Net. (2011).Union daily news. Retrieved fromhttp:\/\/udn.com\/NEWS\/mainpage.shtml"}],"container-title":["Journal of the American Society for Information Science and Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fasi.22767","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/asi.22767","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,16]],"date-time":"2023-10-16T12:20:09Z","timestamp":1697458809000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/asi.22767"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,1,3]]},"references-count":42,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2013,2]]}},"alternative-id":["10.1002\/asi.22767"],"URL":"https:\/\/doi.org\/10.1002\/asi.22767","archive":["Portico"],"relation":{},"ISSN":["1532-2882","1532-2890"],"issn-type":[{"value":"1532-2882","type":"print"},{"value":"1532-2890","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,1,3]]}}}