人工索引和计算机算法产生的结果的相关性:West的标题和关键数字与LexisNexis的标题和主题研究

IF 0.3 4区社会学 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE

Law Library Journal Pub Date : 2010-01-01 DOI:10.31228/osf.io/73qsp

Susan Nevelow Mart

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引用次数: 8

摘要

本文开始调查在West的“定制文摘”、LexisNexis的“按主题或标题搜索”以及KeyCite和Shepard的“按主题或标题搜索”中产生结果的不同方式。作者从重要的联邦和加州案例中选取了十对匹配的标题注释，并审查了由每种分类和引文系统生成的结果集的相关性。分类系统和引文系统结果集的差异提出了关于任何一个系统的效率和全面性的有趣问题，以及相应地调整研究策略的必要性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The Relevance of Results Generated by Human Indexing and Computer Algorithms: A Study of West's Headnotes and Key Numbers and LexisNexis's Headnotes and Topics

This article begins the investigation into the different ways results are generated in West’s “Custom Digest” and in LexisNexis’s “Search by Topic or Headnote” and by KeyCite and Shepard’s. The author took ten pairs of matching headnotes from important federal and California cases and reviewed the results sets generated by each classification and citator system for relevance. The differences in the results sets for classification systems and for citator systems raise interesting issues about the efficiency and comprehensiveness of any one system, and the need to adjust research strategies accordingly.

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来源期刊

Law Library Journal Multiple-

CiteScore

0.30

自引率

50.00%

发文量

期刊介绍： The Law Library Journal has been the "official" publication of the Association since 1908. It is published quarterly and distributed to members directly.