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http://dx.doi.org/10.9708/jksci.2013.18.5.043

Designing emotional model and Ontology based on Korean to support extended search of digital music content  

Kim, SunKyung (Dept. of Computer Engineering, Hongik University)
Shin, PanSeop (Dept. of Computer Engineering, Daejin University)
Lim, HaeChull (Dept. of Computer Engineering, Hongik University)
Publication Information
Journal of the Korea Society of Computer and Information / v.18, no.5, 2013 , pp. 43-52 More about this Journal
Abstract
In recent years, a large amount of music content is distributed in the Internet environment. In order to retrieve the music content effectively that user want, various studies have been carried out. Especially, it is also actively developing music recommendation system combining emotion model with MIR(Music Information Retrieval) studies. However, in these studies, there are several drawbacks. First, structure of emotion model that was used is simple. Second, because the emotion model has not designed for Korean language, there is limit to process the semantic of emotional words expressed with Korean. In this paper, through extending the existing emotion model, we propose a new emotion model KOREM(KORean Emotional Model) based on Korean. And also, we design and implement ontology using emotion model proposed. Through them, sorting, storage and retrieval of music content described with various emotional expression are available.
Keywords
Multimedia Contents; Emotional Model; Ontology;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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