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

Authors: Sotiris Angelis; Konstantinos Kotis; Panagiotis Mouzakis

Addresses: Intelligent Systems Lab (i-Lab), Department of Cultural Technology and Communication, University of the Aegean, Mytilene, Greece ' Intelligent Systems Lab (i-Lab), Department of Cultural Technology and Communication, University of the Aegean, Mytilene, Greece ' Intelligent Systems Lab (i-Lab), Department of Cultural Technology and Communication, University of the Aegean, Mytilene, Greece

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.

Keywords: link discovery; RDF querying; semantic enrichment; LOD; cultural data.

DOI: 10.1504/IJMSO.2021.123043

International Journal of Metadata, Semantics and Ontologies, 2021 Vol.15 No.3, pp.204 - 219

Received: 27 Apr 2021
Accepted: 14 Jan 2022

Published online: 23 May 2022 *

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