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COMPUTER AND MANUAL ANALYSIS OF SUBJECT TERMS ENTERED BY ONLINE CATALOG USERS

机译:计算机和手动分析在线目录用户输入的主语项

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Subject queries were extracted from three universities' online catalogs and analyzed by computer and manually to determine the extent to which they matched subject headings in the Library of Congress Subject Headings (LCSH). Computer analyses show that nearly 25% of the subject queries entered by online catalog users are exact matches of LCSH. Yet, manual analyses show that, even though a user matches or closely matches LCSH-mr, the citations retrieved by this vocabulary are not necessarily satisfactory. Sometimes the closest LCSH-mr is not at all pertinent to a user's topic of interest. This study presents reasons why close matches of LCSH-mr are not always satisfactory and suggests approaches to finding the best matches of the catalog's controlled vocabulary.
机译:主题查询是从三所大学的在线目录中提取,并通过计算机分析并手动分析,以确定它们在国会主题标题库(LCSH)库中匹配主题标题的程度。计算机分析表明,在线目录用户输入的近25%的主题查询是LCSH的完全匹配。然而,手动分析表明,即使用户匹配或与LCSH-MR紧密匹配,这种词汇检索的引用不一定令人满意。有时,最接近的LCSH-MR与用户的感兴趣的话题并不相关。本研究提出了LCSH-MR的密切匹配并不总是令人满意的原因,并建议寻找目录控制词汇表的最佳比赛的方法。

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