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Advanced text searching of electronic information related to forensic discovery.

机译:与法医发现相关的电子信息的高级文本搜索。

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摘要

The Federal Rules of Civil Procedure regarding production of electronic evidence, together with court rulings and penalties, have highlighted the need for timely and accurate production of electronically stored responsive evidence. Key criteria to the legal requirements include costs to produce, identification of responsive information and identification of privileged information within the responsive information. Currently the primary two methods of compliance are manual review of the documents and electronic Boolean text searches.Text searching technology has been studied for over fifty years generating literally thousands of documents and books for a literature review. The focus of the literature includes accuracy of searching, optimization of searching, and completeness of searching. Some of the literature is based on a specific field of interest such as library cards or patent filings, but most is either generic or relates to either peer-to-peer searching or Internet searching. The documents related to the field of electronic evidence are very limited in number and presented no new search techniques directly.We identified and classified the search techniques from the literature study after consideration of the applicability to electronic evidence. Using electronic evidence from actual litigation cases, the techniques were implemented to identify the thoroughness of the documents identified in the population and the related costs (time) required to identify such documents. The results from the various techniques were compared along with the costs to identify the "best" text searching method. Based on the results, we recommend implementation of a combination of the techniques to allow responsiveness to different requirements based on the legal circumstances.
机译:关于产生电子证据的《联邦民事诉讼规则》,连同法院的裁决和处罚,都强调需要及时,准确地产生以电子方式存储的回应性证据。法律要求的关键标准包括生产成本,响应信息的标识以及响应信息中特权信息的标识。目前,主要的两种合规方法是文档的手动审阅和电子布尔文本搜索。文本搜索技术已经研究了五十多年,生成了成千上万的文档和书籍以供文献审阅。文献的重点包括搜索的准确性,搜索的优化和搜索的完整性。一些文献基于特定的兴趣领域,例如图书馆卡或专利申请,但是大多数文献是通用的,或者与对等搜索或Internet搜索有关。与电子证据相关的文献数量非常有限,没有直接提出新的检索技术。考虑到电子证据的适用性,我们从文献研究中对检索技术进行了识别和分类。利用来自实际诉讼案件的电子证据,实施了该技术以识别在人群中识别出的文件的完整性以及识别此类文件所需的相关成本(时间)。比较了各种技术的结果以及确定“最佳”文本搜索方法的成本。根据结果​​,我们建议实施这些技术的组合,以根据法律情况对不同要求做出响应。

著录项

  • 作者

    Haenchen, Steven L.;

  • 作者单位

    University of Kansas.;

  • 授予单位 University of Kansas.;
  • 学科 Computer Science.
  • 学位 M.S.
  • 年度 2009
  • 页码 88 p.
  • 总页数 88
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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