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Named Entities for Hot Topics Ranking and Ontology Navigation Aid

by: Mírian Bruckschen, Renata Vieira, and Sandro Rigo

In: HT '09: Proceedings of the Twentieth ACM Conference on Hypertext and Hypermedia New York, NY, USA: ACM (July 2009) .

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.

BibTeX record

@inproceedings{bruckschen2009named,
  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.},
  added-at = {2009-06-16T15:00:02.000+0200},
  address = {New York, NY, USA},
  author = {Bruckschen, Mírian and Vieira, Renata and Rigo, Sandro},
  biburl = {http://www.bibsonomy.org/bibtex/28be99078789359235d781eccfa2902c7/ht09},
  booktitle = {HT '09: Proceedings of the Twentieth ACM Conference on Hypertext and Hypermedia},
  interhash = {08082e2e761fb2e4b5f659fc7d14e3ac},
  intrahash = {8be99078789359235d781eccfa2902c7},
  keywords = {aid hot ht2009 language natural navigation poster pp154 processing semantic tagging topics web2.0},
  month = {July},
  paperid = {pp154},
  publisher = {ACM},
  session = {Poster},
  timestamp = {2009-06-16T15:00:02.000+0200},
  title = {Named Entities for Hot Topics Ranking and Ontology Navigation Aid},
  year = 2009
}

Endnote record