Linked Open Data native cataloguing and archival description

In the last years cultural heritage institutions have radically changed the way they publish their data. Publishing Linked Open Data (LOD) offers many advantages, in terms of innovation, visibility, and engagement with patrons. New data are served along with legacy services and data, via dedicated i...

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Published in:JLIS.it : Italian journal of library and information science Vol. 12; no. 3; pp. 91 - 104
Main Author: Daquino, Marilena
Format: Journal Article
Language:English
Italian
Published: Macerata EUM-Edizioni Università di Macerata 01.09.2021
University of Florence
Firenze University Press
Subjects:
Computational linguistics
Crowdsourcing
Humanists
Innovations
Language processing
Library Linked data
Linked Open Data
Linked Open Data; Library Linked data; Semantic Web; Crowdsourcing
Natural language interfaces
Semantic Web
Web applications
ISSN:2038-1026, 2038-1026
Online Access:Get full text
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Abstract In the last years cultural heritage institutions have radically changed the way they publish their data. Publishing Linked Open Data (LOD) offers many advantages, in terms of innovation, visibility, and engagement with patrons. New data are served along with legacy services and data, via dedicated interfaces that allow developers and Digital Humanists to access specialised information. However, Linked data are living entities that change over time and require expensive curatorial activities, and should not be misaligned with respect to original data. To cope with this problem, several LOD-native cataloguing systems have been created. In this article an overview of current projects for LOD-native cataloguing is provided. Projects and systems are analysed with respect to related problems and benefits. [Publisher's Text]
AbstractList In the last years cultural heritage institutions have radically changed the way they publish their data. Publishing Linked Open Data (LOD) offers many advantages, in terms of innovation, visibility, and engagement with patrons. New data are served along with legacy services and data, via dedicated interfaces that allow developers and Digital Humanists to access specialised information. However, Linked data are living entities that change over time and require expensive curatorial activities, and should not be misaligned with respect to original data. To cope with this problem, several LOD-native cataloguing systems have been created. In this article an overview of current projects for LOD-native cataloguing is provided. Projects and systems are analysed with respect to related problems and benefits.
In the last years cultural heritage institutions have radically changed the way they publish their data. Publishing Linked Open Data (LOD) offers many advantages, in terms of innovation, visibility, and engagement with patrons. New data are served along with legacy services and data, via dedicated interfaces that allow developers and Digital Humanists to access specialised information. However, Linked data are living entities that change over time and require expensive curatorial activities, and should not be misaligned with respect to original data. To cope with this problem, several LOD-native cataloguing systems have been created. In this article an overview of current projects for LOD-native cataloguing is provided. Projects and systems are analysed with respect to related problems and benefits. [Publisher's Text]
In the last years cultural heritage institutions have radically changed the way they publish their data. Publishing Linked Open Data (LOD) offers many advantages, in terms of innovation, visibility, and engagement with patrons. New data are served along with legacy services and data, via dedicated interfaces that allow developers and Digital Humanists to access specialised information. However, Linked data are living entities that change over time and require expensive curatorial activities, and should not be misaligned with respect to original data. To cope with this problem, several LOD-native cataloguing systems have been created. In this article an overview of current projects for LOD-native cataloguing is provided. Projects and systems are analysed with respect to related problems and benefits. KEYWORDS Linked Open Data; Library Linked data; Semantic Web; Crowdsourcing.
Audience Academic
Author Daquino, Marilena
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COPYRIGHT 2021 University of Florence
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SubjectTerms Computational linguistics
Crowdsourcing
Humanists
Innovations
Language processing
Library Linked data
Linked Open Data
Linked Open Data; Library Linked data; Semantic Web; Crowdsourcing
Natural language interfaces
Semantic Web
Web applications
Title Linked Open Data native cataloguing and archival description
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