Ontology-based affective models to organize artworks in the social semantic web

作者：

Highlights：

• Emotions evoked by artworks are captured by emotion analysis of social tags.

• An OWL 2 ontology based on Plutchik’s circumplex model of emotions is developed.

• Ontologies, linked data and affective lexicons are combined in a novel framework.

• Emotion-driven organization and access to online art collections is enabled.

• The proposal is applied to a real dataset of tagged multimedia artworks.

摘要

•Emotions evoked by artworks are captured by emotion analysis of social tags.•An OWL 2 ontology based on Plutchik’s circumplex model of emotions is developed.•Ontologies, linked data and affective lexicons are combined in a novel framework.•Emotion-driven organization and access to online art collections is enabled.•The proposal is applied to a real dataset of tagged multimedia artworks.

论文关键词：Ontologies,Emotion visualization,Sentiment analysis,Social tagging,Semantic web,Linked open data

论文评审过程：Received 19 May 2014, Revised 9 October 2015, Accepted 10 October 2015, Available online 12 November 2015, Version of Record 10 December 2015.

论文官网地址：https://doi.org/10.1016/j.ipm.2015.10.003