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Interlinking and enrichment of disparate organisational data with LOD at application run-time

Interlinking and enrichment of disparate organisational data with LOD at application run-time The present work focuses on the semantic integration, enrichment and interlinking of data that is semi-automatically generated by documenting artworks and their creators. In this work, we have been experimenting with RDFization and links discovery tools, W3C standards and widely accepted vocabularies. This work has been already evaluated with museum data, emphasising the discovery of links between disparate data sets and external data sources at the back-end of the proposed approach. In this paper, while contributing a number of other new and extended features at the back-end of this approach, we emphasise links discovery at the front-end in order to interlink and enrich cultural data with LOD at application run-time and facilitate the real-time and up-to-date exploitation of semantically integrated and LOD-enriched data. This is achieved by implementing a custom links discovery method and evaluating it within a web application using LOD cloud data sources such as DBpedia and Europeana. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Metadata, Semantics and Ontologies Inderscience Publishers

Interlinking and enrichment of disparate organisational data with LOD at application run-time

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1744-2621
eISSN
1744-263X
DOI
10.1504/ijmso.2021.123043
Publisher site
See Article on Publisher Site

Abstract

The present work focuses on the semantic integration, enrichment and interlinking of data that is semi-automatically generated by documenting artworks and their creators. In this work, we have been experimenting with RDFization and links discovery tools, W3C standards and widely accepted vocabularies. This work has been already evaluated with museum data, emphasising the discovery of links between disparate data sets and external data sources at the back-end of the proposed approach. In this paper, while contributing a number of other new and extended features at the back-end of this approach, we emphasise links discovery at the front-end in order to interlink and enrich cultural data with LOD at application run-time and facilitate the real-time and up-to-date exploitation of semantically integrated and LOD-enriched data. This is achieved by implementing a custom links discovery method and evaluating it within a web application using LOD cloud data sources such as DBpedia and Europeana.

Journal

International Journal of Metadata, Semantics and Ontologies – Inderscience Publishers

Published: Jan 1, 2021

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