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Linked Data Creation with ExcelRDF
Jönköping University, School of Engineering, JTH, Department of Computing, Jönköping AI Lab (JAIL).ORCID iD: 0000-0001-8767-4136
2020 (English)In: The semantic web: The Semantic Web: ESWC 2020 Satellite Events / [ed] A. Harth, V. Presutti, R. Troncy, M. Acosta, A. Polleres, J. D. Fernández, J. Xavier Parreira, O. Hartig, K. Hose & M. Cochez, Cham: Springer, 2020, p. 104-109Conference paper, Published paper (Refereed)
Abstract [en]

Constructing an RDF-based knowledge graph requires designing a data model (typically an OWL ontology) and transforming one’s data into an RDF representation that is compliant with said model. This paper introduces ExcelRDF, a plugin for Microsoft Excel that is intended to simplify the latter task. ExcelRDF can translate an OWL ontology into an Excel skeleton file (empty apart from column headers). It can then, once that skeleton file has been filled out with data, translate it back into an RDF graph representation. ExcelRDF is designed to be simple to install and use, and to work with existing Excel-based data management workflows.

Place, publisher, year, edition, pages
Cham: Springer, 2020. p. 104-109
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 12124
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hj:diva-50964DOI: 10.1007/978-3-030-62327-2_18Scopus ID: 2-s2.0-85097302037ISBN: 978-3-030-62326-5 (print)ISBN: 978-3-030-62327-2 (electronic)OAI: oai:DiVA.org:hj-50964DiVA, id: diva2:1500210
Conference
ESWC 2020 Satellite Events, Heraklion, Crete, Greece, May 31 – June 4, 2020, Revised Selected Papers
Available from: 2020-11-11 Created: 2020-11-11 Last updated: 2025-10-13Bibliographically approved

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Preprint(396 kB)412 downloads
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Hammar, Karl

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CiteExportLink to record
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Citation style
  • apa
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