Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
권호 표지
DOI QR코드

DOI QR Code

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

디지털 음악 콘텐츠의 확장된 검색을 지원하는 한국어 기반 감성 모델과 온톨로지 설계

  • Received : 2013.02.25
  • Accepted : 2013.04.24
  • Published : 2013.05.31
Download PDF
⟨ Previous Next ⟩

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.

대량의 음악 콘텐츠가 유통되는 초고속 인터넷 환경에서, 사용자가 원하는 음악 콘텐츠를 효과적으로 검색하기 위한 연구들이 다양하게 수행되고 있다. 특히, 음악 정보 검색(MIR: Music Information Retrieval) 연구에 감성 모델을 접목한 음악 추천 시스템 개발도 활발하게 진행되고 있다. 그러나, 적용된 감성 모델이 단순하고, 한국어를 대상으로 하지 않아 한국어의 의미적 감성 표현 처리에 한계점을 가진다. 따라서, 본 논문에서는, 한국어를 기반으로, 기존의 감성 모델을 확장한 새로운 감성 모델(KORean Emotional Model : KOREM)을 제안하고, 이를 온톨로지(Music EMotional Ontology : MEMO)로 설계 및 구현하였다. 이를 통해, 한글로 서술된 폭넓고 다양한 감성적 표현을 이용한 음악 콘텐츠의 분류, 저장 및 검색이 가능하다.

Keywords

References

  1. Alfio Ferrara, Luca A. Ludovico, "A Semantic Web ontology for context-based classification and retrieval of music resources", ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP), 2006.
  2. Liu, D., Hong-Jiang Zhang, "Automatic mood detection and tracking of music audio signals", IEEE Transactions on Audio, Speech & Language Processing, 2006.
  3. Yves Raimond, "A Distributed Music Information System(page 37-65) ", Queen Mary University of London, London, UK, January 2009.
  4. Ellard, K. K., Farchione, T. J., & Barlow, D. H. (In press). Relative effectiveness of emotion induction procedures and the role of personal relevance in a clinical sample: A comparison of film, images, and music. Journal of Psychopathology and Behavioral Assessment. doi: 10.1007/s10862-011-9271-4, December 2011.
  5. MIREX Home, http://www.music-ir.org/mirex/
  6. Finding Musical Information, Donald Byrd, Indiana University, 2006.11.7
  7. http://www.id3.org/
  8. http://dublincore.org/documents/dcmi-terms/
  9. CloudPlayer, http://www.amazon.com/gp/dmusicmarketing/CloudPlayerLaunchPage
  10. Se Heon Song, Seung Min Rho, "Aviation Application : An Ontological and Rule-based Reasoning for Music Recommendation using Musical Moods", The journal of Korea Navigation Institute, Vol.14 No.1, 2010.
  11. BoKook Yoon, SeongYong Hong, "A Design of Music Retrieval and Recommendation System based on Emotion", Korea Computer Congress 2011, Vol 38. No.1(D), 2011.
  12. Ekman, P. & Oster, H., Facial Expressions of Emotion. Annual Review of Psychology, 30, 527-554, 1979. https://doi.org/10.1146/annurev.ps.30.020179.002523
  13. Russell, J. A., "Evidence of convergent validity on the dimensions of affect", Journal of Personality and Social Psychology, 36(10), 1152-1168, 1978. https://doi.org/10.1037/0022-3514.36.10.1152
  14. Thayer, R. E. "The Biopsychology of Mood and Arousal", New York: Oxford University Press, 1989.
  15. Musicovery, http://musicovery.com/
  16. KETI, http://www.keti.re.kr/
  17. Institute of Language and information Studies, http://ilis.yonsei.ac.kr/
  18. YouseKoreanDictionary, http://ilis.yonsei.ac.krdic/
  19. In Jo Park, Kyung Hwan Min, "Making a List of Korean Emotion Terms and Exploring Dimensions Underlying Them", Vol.19, No.1, Startpage 109, Endpage 129, Totalpage 21, 2005.
  20. Sun Ju Sohn, Mi Sook Park, "Korean Emotion Vocabulary: Extraction and Categorization of Feeling Words", Korea Society for Emotion and Sensibility, 105-120, 2012.
  21. Ekman, P, "Strong evidence for universals in facial expressions: A reply to Russell''s mistaken critique", Psychological Bulletin, 115(2), 268-287, 1994. https://doi.org/10.1037/0033-2909.115.2.268
  22. Greenwald, M., Cook, E., & Lang, P. , "Affective judgment and psychophysiological response: Dimensional covariation in the evaluation of pictorial stimuli", Journal of Psychophysiology, 3(1), 51-64, 1989.
  23. hannanum, http://kldp.net/projects/hannanum

Cited by

  1. 모바일 환경에서 감성을 기반으로 한 영상 합성 기법 연구 및 개발 vol.18, pp.11, 2013, https://doi.org/10.9708/jksci.2013.18.11.051