Music folksonomies include both general and detailed descriptions of music, and are usually continuously updated. These are significant advantages over music taxonomies, which tend to be incomplete and inconsistent. However, music folksonomies have an inherent loose and open semantics, which hampers their use in many applications, such as structured music browsing and recommendation. In this paper, we present a system that can (1) automatically obtain a set of semantic facets underlying the folksonomy of the social music website Last.fm, and (2) categorize Last.fm tags with respect to the obtained facets. The semantic facets are anchored upon the structure of Wikipedia, a dynamic repository of universal knowledge.Fabien Gouyon is supported ...
The aim of the proposed project is to work towards the automatic semantic description of digital mus...
The perceptual attributes of timbre have inspired a considerable amount of multidisciplinary researc...
Social tags inherent in online music services such as Last.fm provide a rich source of information o...
Music folksonomies include both general and detailed descriptions of music, and are usually continuo...
Music folksonomies include both general and detailed descriptions of music, and are usually continuo...
High-level semantics such as 'mood' and 'usage' are very useful in music retriev...
In this paper we present a method for automatically as-signing tags to music artists in the Web 2.0 ...
The cataloging of musical materials has always posed challenges for librarians, requiring special tr...
We present a set of music-specific controlled vocabularies, formalized using Semantic Web languages,...
Comunicació presentada al 2nd CompMusic Workshop, celebrat els dies 12 i 13 de juliol de 2012 a Ista...
The rapid expansion of social media in music has provided the field with impressive datasets that of...
The rate at which information about music is being created and shared on the web is growing exponent...
In this paper we present the music information plane and the dfferent levels of information extract...
Comunicació presentada al 3rd International Workshop on Digital Libraries for Musicology, celebrat e...
Abstract. This paper presents the preliminary analyses towards the development of a formal method fo...
The aim of the proposed project is to work towards the automatic semantic description of digital mus...
The perceptual attributes of timbre have inspired a considerable amount of multidisciplinary researc...
Social tags inherent in online music services such as Last.fm provide a rich source of information o...
Music folksonomies include both general and detailed descriptions of music, and are usually continuo...
Music folksonomies include both general and detailed descriptions of music, and are usually continuo...
High-level semantics such as 'mood' and 'usage' are very useful in music retriev...
In this paper we present a method for automatically as-signing tags to music artists in the Web 2.0 ...
The cataloging of musical materials has always posed challenges for librarians, requiring special tr...
We present a set of music-specific controlled vocabularies, formalized using Semantic Web languages,...
Comunicació presentada al 2nd CompMusic Workshop, celebrat els dies 12 i 13 de juliol de 2012 a Ista...
The rapid expansion of social media in music has provided the field with impressive datasets that of...
The rate at which information about music is being created and shared on the web is growing exponent...
In this paper we present the music information plane and the dfferent levels of information extract...
Comunicació presentada al 3rd International Workshop on Digital Libraries for Musicology, celebrat e...
Abstract. This paper presents the preliminary analyses towards the development of a formal method fo...
The aim of the proposed project is to work towards the automatic semantic description of digital mus...
The perceptual attributes of timbre have inspired a considerable amount of multidisciplinary researc...
Social tags inherent in online music services such as Last.fm provide a rich source of information o...