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Canadian Conference on Artificial Intelligence

Canadian AI 2010: Advances in Artificial Intelligence pp 344–347Cite as

Deep Distributed News: Ontologies to the Rescue of Journalism

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6085))

Abstract

New media such as the Internet has greatly expanded the informational horizons of news consumers. However, it has brought about its own set of problems such as information overload. In this paper, we suggest that the semantic web is the best means to help news consumers regain control of the news. We posit that by modeling the environment in which social activity takes place (and news events take place) it is possible to clarify the links between news items and the general context. Additionally, by comparing this model to the user’s own conceptualization, news content could be adapted to better fit his or her needs. We call this theoretical model Deep Distributed News.

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References

  1. Yaros, R.: Is It the Medium or the Message? Structuring Complex News to Enhance Engagement and Situational Understanding by Nonexperts. Comm. Rrch. 33, 285–309 (2006)

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  2. Gruber, T.: Ontology. In: Liu, L., Tamer Özsu, M. (eds.) Encyclopedia of Database Systems. Springer, Heidelberg (2009)

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  3. Gruber, T.: A translation approach to portable ontology specifications. Knowledge Acquisition 5, 199–220 (1993)

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Author information

Authors and Affiliations

  1. Department of Computer Science and Operations Research, University of Montreal, Québec, Canada

    Alexandre Cayla-Irigoyen & Esma Aïmeur

Authors
  1. Alexandre Cayla-Irigoyen
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  2. Esma Aïmeur
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Editor information

Editors and Affiliations

  1. NLP Technologies Inc., 1255 University Street, H3B 3W9, Montreal, Quebec, Canada

    Atefeh Farzindar

  2. Dalhousie University, Faculty of Computer Science, 6050 University Ave, Halifax, B3H 1W5, Nova Scotia, Canada

    Vlado Kešelj

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© 2010 Springer-Verlag Berlin Heidelberg

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Cite this paper

Cayla-Irigoyen, A., Aïmeur, E. (2010). Deep Distributed News: Ontologies to the Rescue of Journalism. In: Farzindar, A., Kešelj, V. (eds) Advances in Artificial Intelligence. Canadian AI 2010. Lecture Notes in Computer Science(), vol 6085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13059-5_43

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  • DOI: https://doi.org/10.1007/978-3-642-13059-5_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13058-8

  • Online ISBN: 978-3-642-13059-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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