Onyx: describing emotions on the web of data

Sánchez Rada, Juan Fernando y Iglesias Fernandez, Carlos Angel (2013). Onyx: describing emotions on the web of data. En: "First International Workshop on Emotion and Sentiment in Social and Expressive Media: approaches and perspectives from AI (ESSEM 2013)", 03/12/2013 - 03/12/2013, Torino, Italy. pp. 71-82.

Descripción

Título: Onyx: describing emotions on the web of data
Autor/es:
  • Sánchez Rada, Juan Fernando
  • Iglesias Fernandez, Carlos Angel
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: First International Workshop on Emotion and Sentiment in Social and Expressive Media: approaches and perspectives from AI (ESSEM 2013)
Fechas del Evento: 03/12/2013 - 03/12/2013
Lugar del Evento: Torino, Italy
Título del Libro: First International Workshop on Emotion and Sentiment in Social and Expressive Media: approaches and perspectives from AI (ESSEM 2013)
Fecha: 2013
Materias:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Ingeniería de Sistemas Telemáticos [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

There are several different standardised and widespread formats to represent emotions. However, there is no standard semantic model yet. This paper presents a new ontology, called Onyx, that aims to become such a standard while adding concepts from the latest Semantic Web models. In particular, the ontology focuses on the representation of Emotion Analysis results. But the model is abstract and inherits from previous standards and formats. It can thus be used as a reference representation of emotions in any future application or ontology. To prove this, we have translated resources from EmotionML representation to Onyx. We also present several ways in which developers could benefit from using this ontology instead of an ad-hoc presentation. Our ultimate goal is to foster the use of semantic technologies for emotion Analysis while following the Linked Data ideals.

Más información

ID de Registro: 29978
Identificador DC: http://oa.upm.es/29978/
Identificador OAI: oai:oa.upm.es:29978
Depositado por: Memoria Investigacion
Depositado el: 27 Jul 2014 07:16
Ultima Modificación: 22 Abr 2016 00:19
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