We provide a survey of the field of Music Information Retrieval (MIR), in particular paying
attention to latest developments, such as semantic auto-tagging and user-centric retrieval …

Abstract The Music Ontology provides a framework for publishing structured music-related
data on the Web, ranging from editorial data to temporal annotations of audio signals. It has …

Purpose–The purpose of this paper is to investigate the connection between musicians'
information seeking behaviour and the creative process in music, providing a framework for …

User studies focusing upon real-life music information needs, uses and seeking behaviours
are still very scarce in the music information retrieval (MIR) and music digital library (MDL) …

We present a novel approach for analysing and classifying lyrics, experimenting both with
ngram models and more sophisticated features that model different dimensions of a song …

Music-streaming platforms offer users a large amount of content for consumption. Finding
the right music can be challenging and users often need to search through extensive …

Our limited understanding of real‐life queries is an obstacle in developing music information
retrieval (MIR) systems that meet the needs of real users. This study aimed, by an empirical …

User studies in the music information retrieval (MIR) domain tend to be exploratory and
qualitative in nature, involving a small number of users, which makes it difficult to derive …

We report the results of a survey on music listening and management behaviours. The
survey was conducted online with 222 participants with mostly technical backgrounds drawn …

Purpose–The purpose of this paper is to examine information seeking behaviour targeted to
music information seeking by amateur musicians, accompanied with empirical evidence …