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Successful management of emotional stimuli is a pivotal issue concerningAffective Computing (AC) and the related research. As a subfield of ArtificialIntelligence, AC is concerned not only with the design of computer systems andthe accompanying hardware that can recognize, interpret, and process humanemotions, but also with the development of systems that can trigger humanemotional response in an ordered and controlled manner. This requires themaximum attainable precision and efficiency in the extraction of data fromemotionally annotated databases While these databases do use keywords or tagsfor description of the semantic content, they do not provide either thenecessary flexibility or leverage needed to efficiently extract the pertinentemotional content. Therefore, to this extent we propose an introduction ofontologies as a new paradigm for description of emotionally annotated data. Theability to select and sequence data based on their semantic attributes is vitalfor any study involving metadata, semantics and ontological sorting like theSemantic Web or the Social Semantic Desktop, and the approach described in thepaper facilitates reuse in these areas as well.

Tagging multimedia stimuli with ontologies