Naslov
Tagging multimedia stimuli with ontologies

Autori
Horvat, Marko ; Popović, Siniša ; Bogunović, Nikola ; Ćosić, Krešimir

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 32nd International Convention on Information and Communication Technology, Electronics and Microelectronics MIPRO 2009 / Bogunović, Nikola ; Ribarić, Slobodan - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2009, 203-208

ISBN
978-953-233-045-8

Skup
32nd International Convention on Information and Communication Technology, Electronics and Microelectronics MIPRO 2009

Mjesto i datum
Opatija, Hrvatska, 25.05.2009. - 29.05.2009

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
affective computing; psychophysiology; tagging; knowledge organization; ontology

Sažetak
Successful management of emotional stimuli is a pivotal issue concerning Affective Computing (AC) and the related research. As a subfield of Artificial Intelligence, AC is concerned not only with the design of computer systems and the accompanying hardware that can recognize, interpret, and process human emotions, but also with the development of systems that can trigger human emotional response in an ordered and controlled manner. This requires the maximum attainable precision and efficiency in the extraction of data from emotionally annotated databases While these databases do use keywords or tags for description of the semantic content, they do not provide either the necessary flexibility or leverage needed to efficiently extract the pertinent emotional content. Therefore, to this extent we propose an introduction of ontologies as a new paradigm for description of emotionally annotated data. The ability to select and sequence data based on their semantic attributes is vital for any study involving metadata, semantics and ontological sorting like the Semantic Web or the Social Semantic Desktop, and the approach described in the paper facilitates reuse in these areas as well.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Psihologija

POVEZANOST RADA