Music ontology for mood and situation reasoning to support music retrieval and recommendation

Seheon Song, Minkoo Kim, Seungmin Rho, Eenjun Hwang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

In this paper, we discuss the use of knowledge for analyzing and retrieving music contents semantically. First, we present Context-based Music Recommendation (COMUS) ontology to reason desired user emotion state from context and user preference information in the ontology. COMUS is a music dedicated ontology in OWL constructed by incorporating domain specific classes for music recommendation into the Music Ontology, which include situation, mood and musical features. More specifically, we describe the ontologies of mood and situation in music using low-level features like pitch or duration and musical factors like tempo or rhythm. Our proposed ontology defines generic as well as domain-specific concepts whose detection is important for the analysis and description of music in a specific domain. As a novelty, our ontology can express detailed and complicated relations among the music, moods and situations, enabling users to find appropriate music for the music retrieval and recommendation application. We present some of the experiments we performed as a case-study for music recommendation.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Digital Society, ICDS 2009
Pages304-309
Number of pages6
DOIs
Publication statusPublished - 2009
Event3rd International Conference on Digital Society, ICDS 2009 - Cancun, Mexico
Duration: 2009 Feb 12009 Feb 7

Publication series

NameProceedings of the 3rd International Conference on Digital Society, ICDS 2009

Other

Other3rd International Conference on Digital Society, ICDS 2009
CountryMexico
CityCancun
Period09/2/109/2/7

Keywords

  • Music ontology
  • Music recommendation
  • Situation reasoning

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Social Sciences(all)

Fingerprint Dive into the research topics of 'Music ontology for mood and situation reasoning to support music retrieval and recommendation'. Together they form a unique fingerprint.

  • Cite this

    Song, S., Kim, M., Rho, S., & Hwang, E. (2009). Music ontology for mood and situation reasoning to support music retrieval and recommendation. In Proceedings of the 3rd International Conference on Digital Society, ICDS 2009 (pp. 304-309). [4782893] (Proceedings of the 3rd International Conference on Digital Society, ICDS 2009). https://doi.org/10.1109/ICDS.2009.50