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Author: Astrid Ildor

Affiliation: Department of Design and Communication, University of Southern Denmark, Universitetsparken 1, 6000 Kolding, Denmark

Keyword(s): Semantic Web, Linked Data, Web 3.0, News Media, Journalism, RDF, Semantic Annotation, URI, Web Ontologies, Application Development.

Abstract: Most news media possess a publish-and-forget mindset: Once a news article is published, the information it contains devalue in the messy place of the unstructured Web and great potentials of combining and reusing data is missed. News media has long constituted an area of interest for Semantic Web researchers, but few studies merge technical knowledge with editorial insights. To fill the gap in literature, this study combines technical analysis with interviews and Participatory Design studies with eight Danish news journalists and digital editors. The exploration reveals three areas within the journalistic work process with significant potential of improvement: Journalists’ challenge of finding the right person to comment on a specific topic, issues of finding previously published articles, and the need for generating infoboxes. Each area is examined as a type of Semantic Web application. It is demonstrated how profound annotation of persons, places, organisations, and key terms menti oned in a body of articles is required for each application. Trustworthiness is another major challenge as this cannot yet be fully achieved within the concept of Semantic Web. (More)

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Paper citation in several formats:
Ildor, A. (2020). Semantic Web Applications for Danish News Media. In Proceedings of the 16th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-758-478-7; ISSN 2184-3252, SciTePress, pages 269-276. DOI: 10.5220/0010124102690276

@conference{webist20,
author={Astrid Ildor.},
title={Semantic Web Applications for Danish News Media},
booktitle={Proceedings of the 16th International Conference on Web Information Systems and Technologies - WEBIST},
year={2020},
pages={269-276},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010124102690276},
isbn={978-989-758-478-7},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Web Information Systems and Technologies - WEBIST
TI - Semantic Web Applications for Danish News Media
SN - 978-989-758-478-7
IS - 2184-3252
AU - Ildor, A.
PY - 2020
SP - 269
EP - 276
DO - 10.5220/0010124102690276
PB - SciTePress