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Vol.25 No.2
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Characteristics of Fulltext Index by Human and Automatic Indexing Systems

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2008, v.25 no.2, pp.199-221
https://doi.org/10.3743/KOSIM.2008.25.2.199

(2008). Characteristics of Fulltext Index by Human and Automatic Indexing Systems. Journal of the Korean Society for Information Management, 25(2), 199-221, https://doi.org/10.3743/KOSIM.2008.25.2.199
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Abstract

The purpose of this study is to investigate the characteristics of indexes by human and machine, and differences between them in terms of term identification in a fulltext environment. A back-of-book index and two indexes produced by two term identifiers (LinkIt and Termer) as pseudo-indexing systems for a whole body of a monograph are examined. In the investigation, the traditional contrast between manual and automatic indexing is confirmed in fulltext environment; manual index is for browsing and human use, and automatic index is for searching and machine use. The border between them, however, becomes vague. Some considerations for the use of the term identifiers for browsing and for searching are discussed, and further research for the use of the term identifier is suggested.

keywords
index term characteristics, manual index, automatic index, fulltext index, 색인어 특성, 수작업 색인, 자동색인

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