COMUS: Ontological and rule-based reasoning for music recommendation system

Seungmin Rho; Seheon Song; Eenjun Hwang; Minkoo Kim

doi:10.1007/978-3-642-01307-2_89

COMUS: Ontological and rule-based reasoning for music recommendation system

Seungmin Rho, Seheon Song, Eenjun Hwang, Minkoo Kim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Citations (Scopus)

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.

Original language	English
Title of host publication	13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009
Pages	859-866
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-01307-2_89
Publication status	Published - 2009
Event	13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009 - Bangkok, Thailand Duration: 2009 Apr 27 → 2009 Apr 30

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5476 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009
Country/Territory	Thailand
City	Bangkok
Period	09/4/27 → 09/4/30

Keywords

Music recommendation
Ontology
Reasoning

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-01307-2_89

Cite this

Rho, S., Song, S., Hwang, E., & Kim, M. (2009). COMUS: Ontological and rule-based reasoning for music recommendation system. In 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009 (pp. 859-866). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5476 LNAI). https://doi.org/10.1007/978-3-642-01307-2_89

COMUS: Ontological and rule-based reasoning for music recommendation system. / Rho, Seungmin; Song, Seheon; Hwang, Eenjun et al.
13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009. 2009. p. 859-866 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5476 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Rho, S, Song, S, Hwang, E & Kim, M 2009, COMUS: Ontological and rule-based reasoning for music recommendation system. in 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5476 LNAI, pp. 859-866, 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, Bangkok, Thailand, 09/4/27. https://doi.org/10.1007/978-3-642-01307-2_89

Rho S, Song S, Hwang E, Kim M. COMUS: Ontological and rule-based reasoning for music recommendation system. In 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009. 2009. p. 859-866. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-01307-2_89

@inproceedings{fb9932a8a4e9467cb8f0895f1109bbdf,

title = "COMUS: Ontological and rule-based reasoning for music recommendation system",

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.",

keywords = "Music recommendation, Ontology, Reasoning",

author = "Seungmin Rho and Seheon Song and Eenjun Hwang and Minkoo Kim",

year = "2009",

doi = "10.1007/978-3-642-01307-2_89",

language = "English",

isbn = "3642013066",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "859--866",

booktitle = "13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009",

note = "13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009 ; Conference date: 27-04-2009 Through 30-04-2009",

}

TY - GEN

T1 - COMUS

T2 - 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009

AU - Rho, Seungmin

AU - Song, Seheon

AU - Hwang, Eenjun

AU - Kim, Minkoo

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

KW - Music recommendation

KW - Ontology

KW - Reasoning

UR - http://www.scopus.com/inward/record.url?scp=67650677733&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=67650677733&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-01307-2_89

DO - 10.1007/978-3-642-01307-2_89

M3 - Conference contribution

AN - SCOPUS:67650677733

SN - 3642013066

SN - 9783642013065

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 859

EP - 866

BT - 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009

Y2 - 27 April 2009 through 30 April 2009

ER -

COMUS: Ontological and rule-based reasoning for music recommendation system

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this