COMUS: Ontological and Rule-Based Reasoning for Music Recommendation System

  • Authors:

  • Seungmin Rho;Seheon Song;Eenjun Hwang;Minkoo Kim

  • Affiliations:

  • School of Computer Science, Carnegie Mellon Univeristy, Pittsburgh, USA;Graduate School of Information and Communication, Ajou University, Suwon, South Korea 443-749;School of Electrical Engineering, Korea University, Seoul, South Korea 135-701;Graduate School of Information and Communication, Ajou University, Suwon, South Korea 443-749

  • Venue:
  • PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
  • Year:
  • 2009

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Abstract

In this paper, we propose Context-based Music Recommendation (COMUS) ontology for modeling user's musical preferences and context for supporting reasoning about the user's desired emotion and preferences. The COMUS provides an upper Music Ontology that captures concepts about the general properties of music such as title, artists and genre and also provides extensibility for adding domain-specific ontologies, such as Music Feature, Mood and Situation, in a hierarchical manner. The COMUS is music dedicated ontology in OWL constructed by incorporating domain specific classes for music recommendation into the Music Ontology. Using this context ontology, we believe that the use of logical reasoning rules by checking the consistency of context information, and reasoning over the high-level, implicit context from the low-level, explicit information. 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 application. We present some of the experiments we performed as a case-study for music recommendation.