Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 39th Annual ACM Symposium on Applied Computing (SAC 2024) |
| Editors | Jiman Hong, Hossain Shahriar |
| Place of Publication | New York, USA |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 1665-1667 |
| Number of pages | 3 |
| ISBN (Print) | 979-8-4007-0243-3 |
| DOIs | |
| Publication status | Published - Apr 2024 |
Fields of science
- 102010 Database systems
- 102015 Information systems
- 102028 Knowledge engineering
- 509018 Knowledge management
JKU Focus areas
- Digital Transformation