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Fernanda de Jesus, A.; Ferreira de Castro, F.: Proposal for the publication of linked open bibliographic data (2024) 0.04
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Abstract

Linked Open Data (LOD) are a set of principles for publishing structured, connected data available for reuse under an open license. The objective of this paper is to analyze the publishing of bibliographic data such as LOD, having as a product the elaboration of theoretical-methodological recommendations for the publication of these data, in an approach based on the ten best practices for publishing LOD, from the World Wide Web Consortium. The starting point was the conduction of a Systematic Review of Literature, where initiatives to publish bibliographic data such as LOD were identified. An empirical study of these institutions was also conducted. As a result, theoretical-methodological recommendations were obtained for the process of publishing bibliographic data such as LOD.
Hahn, J.: Semi-automated methods for BIBFRAME work entity description (2021) 0.01
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Abstract

This paper reports an investigation of machine learning methods for the semi-automated creation of a BIBFRAME Work entity description within the RDF linked data editor Sinopia (https://sinopia.io). The automated subject indexing software Annif was configured with the Library of Congress Subject Headings (LCSH) vocabulary from the Linked Data Service at https://id.loc.gov/. The training corpus was comprised of 9.3 million titles and LCSH linked data references from the IvyPlus POD project (https://pod.stanford.edu/) and from Share-VDE (https://wiki.share-vde.org). Semi-automated processes were explored to support and extend, not replace, professional expertise.

Morris, V.: Automated language identification of bibliographic resources (2020) 0.01

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Date: 2. 3.2020 19:04:22

Das, S.; Paik, J.H.: Gender tagging of named entities using retrieval-assisted multi-context aggregation : an unsupervised approach (2023) 0.01

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Date: 22. 3.2023 12:00:14

Kim, J.(im); Kim, J.(enna): Effect of forename string on author name disambiguation (2020) 0.01

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Date: 11. 7.2020 13:22:58

Zhang, L.; Lu, W.; Yang, J.: LAGOS-AND : a large gold standard dataset for scholarly author name disambiguation (2023) 0.01

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Date: 22. 1.2023 18:40:36

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