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A News Article Tag Categorization Ontology

Published: 21 May 2024 Publication History

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.

References

[1]
Nora Engleitner, Werner Kreiner, Nicole Schwarz, Theodorich Kopetzky, and Lisa Ehrlinger. 2021. Knowledge Graph Embeddings for News Article Tag Recommendation. In SEMANTiCS Posters&Demos.
[2]
Michael Färber, Frederic Bartscherer, Carsten Menne, and Achim Rettinger. 2018. Linked Data Quality of DBpedia, Freebase, OpenCyc, Wikidata, and Yago. Semantic Web 9, 1 (2018), 77--129.
[3]
Christina Feilmayr and Wolfram Wöß. 2016. An Analysis of Ontologies and their Success Factors for Application to Business. Data & Knowledge Engineering 101 (2016), 1--23.
[4]
Norberto Fernández, Damaris Fuentes, Luis Sánchez, and Jesús A. Fisteus. 2010. The NEWS Ontology: Design and Applications. Expert Systems with Applications 37, 12 (2010), 8694--8704.
[5]
Wouter IJntema, Frank Goossen, Flavius Frasincar, and Frederik Hogenboom. 2010. Ontology-based News Recommendation. In Proceedings of the 2010 EDBT/ICDT Workshops. 1--6.
[6]
Andreas L. Opdahl, Tareq Al-Moslmi, Duc-Tien Dang-Nguyen, Marc Gallofré Ocaña, Bjørnar Tessem, and Csaba Veres. 2022. Semantic Knowledge Graphs for the News: A Review. ACM Computing Survey 55, 7, Article 140 (2022), 38 pages.
[7]
Lena Tenenboim, Bracha Shapira, and Peretz Shoval. 2008. Ontology-based Classification of News in an Electronic Newspaper. In Advanced Research in Artificial Intelligence. Institute of Information Theories and Applications FOI ITHEA.

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Published In

cover image ACM Conferences
SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
April 2024
1898 pages
ISBN:9798400702433
DOI:10.1145/3605098
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 May 2024

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Author Tags

  1. news articles
  2. tag categorization
  3. ontologies
  4. wikipedia categories

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  • Poster

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  • The Austrian Research Promotion Agency (FFG)

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SAC '24
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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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SAC '25
The 40th ACM/SIGAPP Symposium on Applied Computing
March 31 - April 4, 2025
Catania , Italy

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