A News Article Tag Categorization Ontology

Lisa Ehrlinger; Harald Holzner; Nora Hemelmayr; Wolfram Wöß

doi:10.1145/3605098.3636153

A News Article Tag Categorization Ontology

Lisa Ehrlinger
, Harald Holzner
, Nora Hemelmayr
, Wolfram Wöß

Institute for Application-oriented Knowledge Processing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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 (Electronic)	9798400702433
ISBN (Print)	979-8-4007-0243-3
DOIs	https://doi.org/10.1145/3605098.3636153
Publication status	Published - 08 Apr 2024

Publication series

Name	Proceedings of the ACM Symposium on Applied Computing

Fields of science

102010 Database systems
102015 Information systems
102028 Knowledge engineering
509018 Knowledge management

JKU Focus areas

Digital Transformation

Access to Document

10.1145/3605098.3636153

Cite this

Ehrlinger, L., Holzner, H., Hemelmayr, N., & Wöß, W. (2024). A News Article Tag Categorization Ontology. In Jiman Hong, Hossain Shahriar (Ed.), Proceedings of the 39th Annual ACM Symposium on Applied Computing (SAC 2024) (pp. 1665-1667). (Proceedings of the ACM Symposium on Applied Computing). Association for Computing Machinery (ACM). https://doi.org/10.1145/3605098.3636153

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title = "A News Article Tag Categorization Ontology",

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.",

author = "Lisa Ehrlinger and Harald Holzner and Nora Hemelmayr and Wolfram W{\"o}{\ss}",

year = "2024",

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doi = "10.1145/3605098.3636153",

language = "English",

isbn = "979-8-4007-0243-3",

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Ehrlinger, L, Holzner, H, Hemelmayr, N & Wöß, W 2024, A News Article Tag Categorization Ontology. in Jiman Hong, Hossain Shahriar (ed.), Proceedings of the 39th Annual ACM Symposium on Applied Computing (SAC 2024). Proceedings of the ACM Symposium on Applied Computing, Association for Computing Machinery (ACM), New York, USA, pp. 1665-1667. https://doi.org/10.1145/3605098.3636153

A News Article Tag Categorization Ontology. / Ehrlinger, Lisa; Holzner, Harald; Hemelmayr, Nora et al.
Proceedings of the 39th Annual ACM Symposium on Applied Computing (SAC 2024). ed. / Jiman Hong, Hossain Shahriar. New York, USA: Association for Computing Machinery (ACM), 2024. p. 1665-1667 (Proceedings of the ACM Symposium on Applied Computing).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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N2 - 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.

AB - 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.

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Ehrlinger L, Holzner H, Hemelmayr N, Wöß W. A News Article Tag Categorization Ontology. In Jiman Hong, Hossain Shahriar, editor, Proceedings of the 39th Annual ACM Symposium on Applied Computing (SAC 2024). New York, USA: Association for Computing Machinery (ACM). 2024. p. 1665-1667. (Proceedings of the ACM Symposium on Applied Computing). doi: 10.1145/3605098.3636153

A News Article Tag Categorization Ontology

Abstract

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Fields of science

JKU Focus areas

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