Lisa Ehrlinger, Harald Holzner, Nora Hemelmayr, Wolfram Wöß,
"A News Article Tag Categorization Ontology"
, in Jiman Hong, Hossain Shahriar: Proceedings of the 39th Annual ACM Symposium on Applied Computing (SAC 2024), Association for Computing Machinery (ACM), New York, USA, Seite(n) 1665-1667, 4-2024, ISBN: 979-8-4007-0243-3
Original Titel:
A News Article Tag Categorization Ontology
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the 39th Annual ACM Symposium on Applied Computing (SAC 2024)
Original Kurzfassung:
In recent years, the demand for personalized and subject-specific news has been growing. Users and organizations alike are requesting the ability to curate individual timelines based on their Topics of interest. To enable the easy curation and discovery of such timelines, a suitable news tag categorization is required that is both, news-domain-oriented, and fine-grained enough to cover specific (e.g., regional) use cases. Since existing categorization systems do not sufficiently fulfill both requirements, we developed an ontology that contains news article tags based on media topics by the International Press Telecommunications Council and Wikipedia categories. The ontology has been implemented within the Newsadoo platform, where it improves the topic curation and exploration process.
Forschungs-