6 Result(s)
within
Mark Sandler
Database Management
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Chapter and Conference Paper
Ontological Representation of Audio Features
Feature extraction algorithms in Music Informatics aim at deriving statistical and semantic information directly from audio signals. These may be ranging from energies in several frequency bands to musical inf...
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Chapter and Conference Paper
MusicWeb: Music Discovery with Open Linked Semantic Metadata
This paper presents MusicWeb, a novel platform for music discovery by linking music artists within a web-based application. MusicWeb provides a browsing experience using connections that are either extra-music...
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Chapter and Conference Paper
Facilitating Music Information Research with Shared Open Vocabularies
There is currently no agreement on common shared representations of audio features in the field of music information retrieval. The Audio Feature Ontology has been developed as part of a harmonised library of ...
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Chapter and Conference Paper
A Shared Vocabulary for Audio Features
The aim of the Shared Open Vocabulary for Audio Research and Retrieval project is to foster greater agreement on the representation of content-based audio features within music research communities. The Audio ...
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Chapter and Conference Paper
Evaluation of the Music Ontology Framework
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 been used extensively, for example ...
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Chapter and Conference Paper
Musically Meaningful or Just Noise? An Analysis of On-line Artist Networks
A sample of the Myspace social network is examined. Using methods from complex network theory, we show empirically that the structure of the Myspace artist network is related to the concept of musical genre. A...
