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

•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 collec...

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Bibliographic Details
Published in:Information processing & management Vol. 52; no. 1; pp. 139 - 162
Main Authors: Bertola, Federico, Patti, Viviana
Format: Journal Article
Language:English
Published: Oxford Elsevier Ltd 01.01.2016
Elsevier Science Ltd
Subjects:
Case studies
Circumplex models
Coding
Data mining
Emotion visualization
Emotions
Interoperability
Italian language
Languages
Linked open data
Multimedia
Natural language processing
Ontologies
Ontology
Patient participation
Programming languages
Semantic change
Semantic web
Semantics
Sentiment analysis
Social space
Social tagging
Sociolinguistics
Studies
User interface
Visitors
Webs
Italy
Emotion visualization
Semantic web
Ontologies
Sentiment analysis
Linked open data
Social tagging
ISSN:0306-4573, 1873-5371
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Summary:•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. In this paper, we focus on applying sentiment analysis to resources from online art collections, by exploiting, as information source, tags intended as textual traces that visitors leave to comment artworks on social platforms. We present a framework where methods and tools from a set of disciplines, ranging from Semantic and Social Web to Natural Language Processing, provide us the building blocks for creating a semantic social space to organize artworks according to an ontology of emotions. The ontology is inspired by the Plutchik’s circumplex model, a well-founded psychological model of human emotions. Users can be involved in the creation of the emotional space, through a graphical interactive interface. The development of such semantic space enables new ways of accessing and exploring art collections. The affective categorization model and the emotion detection output are encoded into W3C ontology languages. This gives us the twofold advantage to enable tractable reasoning on detected emotions and related artworks, and to foster the interoperability and integration of tools developed in the Semantic Web and Linked Data community. The proposal has been evaluated against a real-word case study, a dataset of tagged multimedia artworks from the ArsMeteo Italian online collection, and validated through a user study.
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ISSN:0306-4573
1873-5371
DOI:10.1016/j.ipm.2015.10.003