Abstract
Affective science conducts interdisciplinary research into the emotions and other affective phenomena. Currently, such research is hampered by the lack of common definitions of terms used to describe, categorise and report both individual emotional experiences and the results of scientific investigations of such experiences. High quality ontologies provide formal definitions for types of entities in reality and for the relationships between such entities, definitions which can be used to disambiguate and unify data across different disciplines. Heretofore, there has been little effort directed towards such formal representation for affective phenomena, in part because of widespread debates within the affective science community on matters of definition and categorization. To address this requirement, we are developing an Emotion Ontology (EMO). The full ontology and generated OWLDoc documentation are available for download from https://emotion-ontology.googlecode.com/svn/trunk/ under the Creative Commons – Attribution license (CC BY 3.0).
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Hastings, J., Ceusters, W., Smith, B., Mulligan, K. (2011). The Emotion Ontology: Enabling Interdisciplinary Research in the Affective Sciences. In: Beigl, M., Christiansen, H., Roth-Berghofer, T.R., Kofod-Petersen, A., Coventry, K.R., Schmidtke, H.R. (eds) Modeling and Using Context. CONTEXT 2011. Lecture Notes in Computer Science(), vol 6967. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24279-3_14
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DOI: https://doi.org/10.1007/978-3-642-24279-3_14
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