Onyx: describing emotions on the web of data

Sánchez Rada, Juan Fernando ORCID: https://orcid.org/0000-0003-3545-9252 and Iglesias Fernández, Carlos Ángel ORCID: https://orcid.org/0000-0002-1755-2712 (2013). Onyx: describing emotions on the web of data. In: "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.

Description

Title: Onyx: describing emotions on the web of data
Author/s:
Item Type: Presentation at Congress or Conference (Article)
Event Title: First International Workshop on Emotion and Sentiment in Social and Expressive Media: approaches and perspectives from AI (ESSEM 2013)
Event Dates: 03/12/2013 - 03/12/2013
Event Location: Torino, Italy
Title of Book: First International Workshop on Emotion and Sentiment in Social and Expressive Media: approaches and perspectives from AI (ESSEM 2013)
Date: 2013
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería de Sistemas Telemáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 29978
DC Identifier: https://oa.upm.es/29978/
OAI Identifier: oai:oa.upm.es:29978
Deposited by: Memoria Investigacion
Deposited on: 27 Jul 2014 07:16
Last Modified: 01 Apr 2023 09:44
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