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Authors: Uldis Bojārs ; Artūrs Žogla and Elita Eglīte

Affiliation: National Library of Latvia, Latvia

ISBN: 978-989-758-103-8

Keyword(s): Data Quality, Library Authority Files, Linked Data, Library of Congress Subject Headings, VIAF.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Collaboration and e-Services ; Data Engineering ; Data Management and Quality ; Digital Libraries ; e-Business ; Enterprise Information Systems ; Information Integration ; Information Quality ; Integration/Interoperability ; Knowledge Engineering and Ontology Development ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Open Data ; Symbolic Systems ; Web Information Systems and Technologies ; Web Interfaces and Applications

Abstract: Dataset interlinking holds the potential for data quality improvement and data enrichment as demonstrated by the Linked Open Data project. This paper explores the library domain characterized by carefully curated datasets that require high quality standards. It presents the results of an experiment in dataset quality improvement and data enrichment conducted by linking library datasets and analysing the results. The experiment was performed using subject authority files from the National Library of Latvia and the Library of Congress. The paper concludes by discussing how Linked Data can be used for data enrichment.

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Paper citation in several formats:
Bojārs, U.; Žogla, A. and Eglīte, E. (2015). Linking Library Data for Quality Improvement and Data Enrichment.In Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: DATA, ISBN 978-989-758-103-8, pages 184-188. DOI: 10.5220/0005554901840188

@conference{data15,
author={Uldis Bojārs. and Artūrs Žogla. and Elita Eglīte.},
title={Linking Library Data for Quality Improvement and Data Enrichment},
booktitle={Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: DATA,},
year={2015},
pages={184-188},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005554901840188},
isbn={978-989-758-103-8},
}

TY - CONF

JO - Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: DATA,
TI - Linking Library Data for Quality Improvement and Data Enrichment
SN - 978-989-758-103-8
AU - Bojārs, U.
AU - Žogla, A.
AU - Eglīte, E.
PY - 2015
SP - 184
EP - 188
DO - 10.5220/0005554901840188

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