Abstract
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This paper presents a method for identifying concepts in microposts and classifying them into a predefined set of categories. The method relies on the DBpedia knowledge base to identify the types of the concepts detected in the messages. For those concepts that are not classified in the ontology we infer their types via the ontology properties which characterise the type. | |
International
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Si |
Congress
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Making Sense of Microposts (#MSM2013) |
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960 |
Place
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Rio de Janeiro, Brazil |
Reviewers
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Si |
ISBN/ISSN
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00-1613-0073 |
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Start Date
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13/05/2013 |
End Date
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13/05/2013 |
From page
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45 |
To page
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49 |
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Proceedings of the Concept Extraction Challenge at the Workshop on 'Making Sense of Microposts' co-located with the 22nd International World Wide Web Conference (WWW'13) |