Tagging and automation: challenges and opportunities for academic libraries

被引：2

作者：

Eckert, Kai ^{[2
]}

Haenger, Christian ^{[1
]}

Niemann, Christof ^{[1
]}

机构：

[1] Univ Mannheim Lib, Dept Digital Serv, Mannheim, Germany

[2] Univ Mannheim, Inst Comp Sci, Mannheim, Germany

来源：

LIBRARY HI TECH | 2009年 / 27卷 / 04期

关键词：

Tagging; Automation; Academic libraries; Computer software;

D O I：

10.1108/07378830911007664

中图分类号：

G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];

学科分类号：

1205 ; 120501 ;

摘要：

Purpose - The purpose of this paper is to compare and examine the quality of the results of tagging, and intellectual and automated indexing processes. Design/methodology/approach - The approach takes the form of analysis and graphical representation of annotation sets using the software "Semtinel". Findings - A combination of tagging, intellectual and automatic indexing is probably best suited to shape the annotation of literature more efficiently without compromising quality. Originality/value - The paper presents the open source software Semtinel, offering a highly optimized toolbox for analysing thesauri and classifications.

引用

下载

页码：557 / 569

页数：13

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