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Towards concept identification using a knowledge-intensive approach
Cita
Muñoz-García, O., García-Silva, A. and Corcho, Oscar 
ORCID: https://orcid.org/0000-0002-9260-0753
(2013).
Towards concept identification using a knowledge-intensive approach.
En: "MSM2013", 13 May 2013, Río de Janeiro, Brasil.
ORCID: https://orcid.org/0000-0002-9260-0753
(2013).
Towards concept identification using a knowledge-intensive approach.
En: "MSM2013", 13 May 2013, Río de Janeiro, Brasil.
Descripción
| Título: | Towards concept identification using a knowledge-intensive approach |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | MSM2013 |
| Fechas del Evento: | 13 May 2013 |
| Lugar del Evento: | Río de Janeiro, Brasil |
| Título del Libro: | MSM2013: Concept Extraction Challenge at Making Sense of Microposts 2013 |
| Fecha: | Mayo 2013 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Concept identification; Microposts; DBpedia |
| Escuela: | Facultad de Informática (UPM) [antigua denominación] |
| Departamento: | Inteligencia Artificial |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
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.
Más información
| ID de Registro: | 26767 |
|---|---|
| Identificador DC: | https://oa.upm.es/26767/ |
| Identificador OAI: | oai:oa.upm.es:26767 |
| URL Oficial: | http://ceur-ws.org/Vol-1019/ |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 18 Jul 2014 07:56 |
| Ultima Modificación: | 22 Sep 2014 11:42 |
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