Examines the effectiveness of automated indexing and presents the results of a study of information retrieval from a segment (40.000 items) of the ULB Düsseldorf database. The segment was selected randomly and all the documents included were indexed automatically. The search topics included 50 subject areas ranging from economic growth to alternative energy sources. While there were 876 relevant documents in the database segment for each of the 50 search topics, the recall ranged from 1 to 244 references, with the average being 17.52 documents per topic. Therefore it seems that, in the immediate future, automatic indexing should be used in combination with intellectual indexing.
%0 Journal Article
%1 lepsky_automatische_1996
%A Lepsky, Klaus
%A Siepmann, Jörg
%A Zimmermann, Andrea
%D 1996
%J Zeitschrift für Bibliothekswesen und Bibliographie
%K automatisches_indexieren bibliotheken myown zz-svz
%P 47--56
%T Automatische Indexierung für Online-Kataloge : Ergebnisse eines Retrievaltests
%V 43
%X Examines the effectiveness of automated indexing and presents the results of a study of information retrieval from a segment (40.000 items) of the ULB Düsseldorf database. The segment was selected randomly and all the documents included were indexed automatically. The search topics included 50 subject areas ranging from economic growth to alternative energy sources. While there were 876 relevant documents in the database segment for each of the 50 search topics, the recall ranged from 1 to 244 references, with the average being 17.52 documents per topic. Therefore it seems that, in the immediate future, automatic indexing should be used in combination with intellectual indexing.
@article{lepsky_automatische_1996,
abstract = {Examines the effectiveness of automated indexing and presents the results of a study of information retrieval from a segment (40.000 items) of the ULB Düsseldorf database. The segment was selected randomly and all the documents included were indexed automatically. The search topics included 50 subject areas ranging from economic growth to alternative energy sources. While there were 876 relevant documents in the database segment for each of the 50 search topics, the recall ranged from 1 to 244 references, with the average being 17.52 documents per topic. Therefore it seems that, in the immediate future, automatic indexing should be used in combination with intellectual indexing.},
added-at = {2018-11-04T17:02:36.000+0100},
author = {Lepsky, Klaus and Siepmann, Jörg and Zimmermann, Andrea},
biburl = {https://www.bibsonomy.org/bibtex/29c32681baa67507024ba328edb9f9cb5/lepsky},
copyright = {All rights reserved},
interhash = {30b60947b9853bf143d09c62dec6f46f},
intrahash = {9c32681baa67507024ba328edb9f9cb5},
journal = {Zeitschrift für Bibliothekswesen und Bibliographie},
keywords = {automatisches_indexieren bibliotheken myown zz-svz},
pages = {47--56},
timestamp = {2020-07-18T12:03:31.000+0200},
title = {Automatische {Indexierung} für {Online}-{Kataloge} : {Ergebnisse} eines {Retrievaltests}},
volume = 43,
year = 1996
}