Proceedings chapter
Open access

Ontology-Based Information Extraction from Twitter

ContributorsNebhi, Kamel
Presented at Mumbai (India), December 2012
PublisherThe COLING 2012 Organizing Committee
Publication date2012

The popular microblogging service Twitter provides a vast amount of short messages that contains interesting information for Information Extraction tasks. This paper presents a rule-based system for the recognition and semantic disambiguation of named entities in tweets. As our experimental results shows, performance of this approach measured through BDM looks promising when using Linked Data as Freebase and syntactical context for disambiguation.

  • Ontology-based Information Extraction
  • Disambiguation
  • Twitter
  • Linked Data
Citation (ISO format)
NEBHI, Kamel. Ontology-Based Information Extraction from Twitter. In: Proceedings of the Workshop on Information Extraction and Entity Analytics on Social Media Data - COLING 2012. Mumbai (India). [s.l.] : The COLING 2012 Organizing Committee, 2012. p. 17–22.
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Proceedings chapter (Published version)
  • PID : unige:24683

Technical informations

Creation12/17/2012 1:44:00 PM
First validation12/17/2012 1:44:00 PM
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