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Named entities for hot topics ranking and ontology navigation aid

Published: 29 June 2009 Publication History

Abstract

This paper presents an application which relies on Natural Language Processing techniques to identify hot topics in a news portal. Named Entity Recognition, semantic tagging and identity identification are used to acquire knowledge of the domain, generate ontologies automatically and rank hot topics for the news in the portal.

References

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T. Berners-Lee, J. Hendler, and O. Lassila. The Semantic Web. Scientific American, May 2001.
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E. Bick. The Parsing System PALAVRAS -- Automatic Grammatical Analysis of Portuguese in a Constraint Grammar Framework. PhD thesis, Department of Linguistics, University of Arhus, Dinamarca, 2000.
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C. Mota and D. Santos, editors. Desafios na avaliacao conjunta do reconhecimento de entidades mencionadas: Actas do Encontro do Segundo HAREM. Linguateca, Aveiro, Portugal, to appear.
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L. Xiao, D. Wissmann, M. Brown, and S. Jablonski. Information extraction from the Web: System and techniques. Applied Intelligence, 21(2):195--224, 2004.

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Published In

cover image ACM Conferences
HT '09: Proceedings of the 20th ACM conference on Hypertext and hypermedia
June 2009
410 pages
ISBN:9781605584867
DOI:10.1145/1557914

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 June 2009

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Author Tags

  1. hot topics
  2. natural language processing
  3. navigation aid
  4. semantic tagging
  5. web2.0

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