Automatic indexing of documents from journal descriptors: A preliminary investigation
Automatic indexing of documents from journal descriptors: A preliminary investigation
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DOI：
10.1002/(sici)1097-4571(1999)50:8
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发表时间：
1999-06-01
期刊：
影响因子：
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通讯作者：
Humphrey, SM
中科院分区：
文献类型：
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作者：
Humphrey, SM
本文提出了一种新的、全自动的文献标引方法，该方法基于将书目引文训练集中的文本词与期刊的标引相关联。这种期刊级别的索引是以一致的、及时的一组期刊描述符（JD）的形式索引各个期刊本身，这种索引在期刊权威数据库的期刊记录中维护。这种新颖方法的优点是训练集不依赖于先前对数十万文档的手动索引（即，不使用已经在训练集中的任何这样的索引），而是在期刊水平上索引的相对小的智力努力，通常是几千种独特期刊的问题，对于这些期刊，追溯索引以保持一致性和通用性可能是可行的。如果成功，JD索引将提供训练集之外的文档的主题分类，即，期刊文章、专著、WEB文件、灰色文献报告等，因为JD是相当通用的，对应于主题域，它们最可能的用途是用于改进或细化搜索结果。
A new, fully automated approach for indexing documents is presented based on associating textwords in a training set of bibliographic citations with the indexing of journals. This journal-level indexing is in the form of a consistent, timely set of journal descriptors (JDs) indexing the individual journals themselves, This indexing is maintained in journal records in a serials authority database. The advantage of this novel approach is that the training set does not depend on previous manual indexing of hundreds of thousands of documents (i.e., any such indexing already in the training set is not used), but rather the relatively small intellectual effort of indexing at the journal level, usually a matter of a few thousand unique journals for which retrospective indexing to maintain consistency and currency may be feasible, If successful, JD indexing would provide topical categorization of documents outside the training set, i.e., journal articles, monographs, WEB documents, reports from the grey literature, etc., and therefore be applied in searching, Because JDs are quite general, corresponding to subject domains, their most probable use would be for improving or refining search results.