Skip to main content


Weitere Artikel dieser Ausgabe durch Wischen aufrufen

23.04.2021 | Ausgabe 2/2021 Open Access

International Journal on Digital Libraries 2/2021

Automatically evaluating the quality of textual descriptions in cultural heritage records

International Journal on Digital Libraries > Ausgabe 2/2021
Matteo Lorenzini, Marco Rospocher, Sara Tonelli
Wichtige Hinweise

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.


Metadata are fundamental for the indexing, browsing and retrieval of cultural heritage resources in repositories, digital libraries and catalogues. In order to be effectively exploited, metadata information has to meet some quality standards, typically defined in the collection usage guidelines. As manually checking the quality of metadata in a repository may not be affordable, especially in large collections, in this paper we specifically address the problem of automatically assessing the quality of metadata, focusing in particular on textual descriptions of cultural heritage items. We describe a novel approach based on machine learning that tackles this problem by framing it as a binary text classification task aimed at evaluating the accuracy of textual descriptions. We report our assessment of different classifiers using a new dataset that we developed, containing more than 100K descriptions. The dataset was extracted from different collections and domains from the Italian digital library “Cultura Italia” and was annotated with accuracy information in terms of compliance with the cataloguing guidelines. The results empirically confirm that our proposed approach can effectively support curators (F1 \(\sim \) 0.85) in assessing the quality of the textual descriptions of the records in their collections and provide some insights into how training data, specifically their size and domain, can affect classification performance.
Über diesen Artikel

Weitere Artikel der Ausgabe 2/2021

International Journal on Digital Libraries 2/2021 Zur Ausgabe

Premium Partner