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Munkelt, J.: Erstellung einer DNB-Retrieval-Testkollektion (2018) 0.00
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Abstract

Seit Herbst 2017 findet in der Deutschen Nationalbibliothek die Inhaltserschließung bestimmter Medienwerke rein maschinell statt. Die Qualität dieses Verfahrens, das die Prozessorganisation von Bibliotheken maßgeblich prägen kann, wird unter Fachleuten kontrovers diskutiert. Ihre Standpunkte werden zunächst hinreichend erläutert, ehe die Notwendigkeit einer Qualitätsprüfung des Verfahrens und dessen Grundlagen dargelegt werden. Zentraler Bestandteil einer künftigen Prüfung ist eine Testkollektion. Ihre Erstellung und deren Dokumentation steht im Fokus dieser Arbeit. In diesem Zusammenhang werden auch die Entstehungsgeschichte und Anforderungen an gelungene Testkollektionen behandelt. Abschließend wird ein Retrievaltest durchgeführt, der die Einsatzfähigkeit der erarbeiteten Testkollektion belegt. Seine Ergebnisse dienen ausschließlich der Funktionsüberprüfung. Eine Qualitätsbeurteilung maschineller Inhaltserschließung im Speziellen sowie im Allgemeinen findet nicht statt und ist nicht Ziel der Ausarbeitung.

Content

Bachelorarbeit, Bibliothekswissenschaften, Fakultät für Informations- und Kommunikationswissenschaften, Technische Hochschule Köln

Imprint

Köln : Technische Hochschule, Fakultät für Informations- und Kommunikationswissenschaften

Pal, S.; Mitra, M.; Kamps, J.: Evaluation effort, reliability and reusability in XML retrieval (2011) 0.00

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Date: 22. 1.2011 14:20:56

Chu, H.: Factors affecting relevance judgment : a report from TREC Legal track (2011) 0.00

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Date: 12. 7.2011 18:29:22

Wildemuth, B.; Freund, L.; Toms, E.G.: Untangling search task complexity and difficulty in the context of interactive information retrieval studies (2014) 0.00

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Date: 6. 4.2015 19:31:22

Ravana, S.D.; Taheri, M.S.; Rajagopal, P.: Document-based approach to improve the accuracy of pairwise comparison in evaluating information retrieval systems (2015) 0.00

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Date: 20. 1.2015 18:30:22

Rajagopal, P.; Ravana, S.D.; Koh, Y.S.; Balakrishnan, V.: Evaluating the effectiveness of information retrieval systems using effort-based relevance judgment (2019) 0.00

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Date: 20. 1.2015 18:30:22

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