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How to Understand Digital Studio Outputs: The Case of Digital Music Production

Abstract : Digital studios trace a great amount of processes and artifacts. The important flow of these traces calls for a system to support their interpretation and understanding. We present our design and development of such a system in the digital music production context, within the gamelan research project. This trace-based system is structured in three main layers: track production process, interpret collected traces according to a dedicated domain ontology, help querying and visualizing to foster production understanding. We conclude by discussing some hypotheses about trace-based knowledge engineering and digital music production understanding.
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Karim Barkati, Francis Rousseaux. How to Understand Digital Studio Outputs: The Case of Digital Music Production. 1st IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KM), Aug 2012, Montpellier, France. pp.151-169, ⟨10.1007/978-3-642-54897-0_9⟩. ⟨hal-01256590⟩

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