Document (#33412)

Author
Mittelbach, J.
Probst, M.
Title
Möglichkeiten und Grenzen maschineller Indexierung in der Sacherschließung : Strategien für das Bibliothekssystem der Freien Universität Berlin
Imprint
Berlin : Humboldt-Universität, Institut für Bibliothekswissenschaft
Year
2006
Pages
88 S
Series
Berliner Handreichungen zur Bibliothekswissenschaft ; 183
Abstract
Automatische Indexierung wird zunehmend als sinnvolle Möglichkeit erkannt, Daten für Informationsretrievalsysteme zu erzeugen und somit die Auffindbarkeit von Do-kumenten zu erhöhen. Die dafür geeigneten Methoden sind seit geraumer Zeit bekannt und umfassen statistische bzw. computerlinguistische Sprachanalysetechniken, die im Gegensatz zur gebräuchlichen Freitextinvertierung entscheidende Vor-teile hinsichtlich des Retrievals bieten. So bilden erst die Wortformenreduzierung und die semantische Zerlegung sowie die Gewichtung der ermittelten Indexterme die Grundlagen für die gezielte sachliche Suche im Online-Katalog. Entsprechende Ver-fahren, die sich für Bibliotheken eignen, stehen seit Mitte der neunziger Jahre auch für den praktischen Einsatz bereit und werden - nicht zuletzt aufgrund steigender Akzeptanz - ständig weiterentwickelt. Dabei geht es nicht nur um die Steigerung der allgemeinen Leistungsfähigkeit von maschinellen Indexierungssystemen, sondern auch um ihre Fähigkeit, die im Bibliothekswesen verfügbare, sehr heterogene Daten-grundlage optimal zu nutzen. Wichtige Kriterien sind zudem eine vertretbare Fehler-quote, die Integrierbarkeit in die Geschäftsgänge und die Darstellbarkeit der anfal-lenden Datenmengen in entsprechenden Datenrepräsentationsmodellen. Im Fokus der Untersuchung stehen die allgemeine Betrachtung der Vor- und Nachteile der beiden gängigen Indexierungssysteme MILOS und intelligentCAPTURE sowie die Möglichkeiten und Grenzen ihres Einsatzes im Bibliothekssystem der Freien Universität Berlin. Diese Veröffentlichung geht zurück auf eine Master-Arbeit im postgradualen Fernstudiengang Master of Arts (Library and Information Science) an der Humboldt-Universität zu Berlin. Online-Version: http://www.ib.hu-berlin.de/~kumlau/handreichungen/h183/
Theme
Automatisches Indexieren
Location
Berlin
D

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  5. Maas, J.F.: SWD-Explorer : Design und Implementation eines Software-Tools zur erweiterten Suche und grafischen Navigation in der Schlagwortnormdatei (2010) 0.16 
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