首页> 外文会议>Proceedings of the 54th ASIS annual meeting(ASIS'91) >COMPUTER AND MANUAL ANALYSIS OF SUBJECT TERMS ENTERED BY ONLINE CATALOG USERS
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COMPUTER AND MANUAL ANALYSIS OF SUBJECT TERMS ENTERED BY ONLINE CATALOG USERS

机译:在线目录用户输入的主题术语的计算机和手册分析

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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:从三所大学的在线目录中提取了主题查询,并通过计算机和手动进行了分析,以确定它们与国会图书馆主题标题(LCSH)中的主题标题相匹配的程度。计算机分析表明,在线目录用户输入的主题查询中有将近25%与LCSH完全匹配。但是,手动分析表明,即使用户匹配或紧密匹配LCSH-mr,通过该词汇表检索到的引用也不一定令人满意。有时,最接近的LCSH-mr与用户的关注主题根本不相关。这项研究提出了为什么LCSH-mr的紧密匹配并不总是令人满意的原因,并提出了寻找目录受控词汇的最佳匹配的方法。

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