Towards concept identification using a knowledge-intensive approach
| Data(s) |
01/05/2013
|
|---|---|
| Resumo |
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. |
| Formato |
application/pdf |
| Identificador | |
| Idioma(s) |
eng |
| Publicador |
Facultad de Informática (UPM) |
| Relação |
http://oa.upm.es/26767/1/INVE_MEM_2013_165235.pdf http://ceur-ws.org/Vol-1019/ info:eu-repo/semantics/altIdentifier/doi/null |
| Direitos |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess |
| Fonte |
MSM2013: Concept Extraction Challenge at Making Sense of Microposts 2013 | MSM2013 | 13 May 2013 | Río de Janeiro, Brasil |
| Palavras-Chave | #Informática |
| Tipo |
info:eu-repo/semantics/conferenceObject Ponencia en Congreso o Jornada PeerReviewed |
