Music SOFA
| Autor: | John Pybus, Kevin R. Page, Graham Klyne, David De Roure, David M. Weigl |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Service (systems architecture)
Computer science 0102 computer and information sciences 06 humanities and the arts Linked data 01 natural sciences Pipeline (software) Linked Data Platform 060404 music 010201 computation theory & mathematics Human–computer interaction Musical composition Algorithmic composition Semantic Web 0604 arts Digital audio |
| Zdroj: | SAAM@ISWC |
| Popis: | We describe the design and implementation of a semantic music system which illustrates the assembly of a music composition using semantically annotated music fragments. The system, which we call SOFA (SOFA Ontological Fragment Assembler), demonstrates architectural design principles which may have more general applicability in the semantic music domain, notably the adoption of the Linked Data Platform to realise service components of the end-to-end pipeline so that data specialisation takes the place of service specialisation. The prototype builds upon two existing tools developed by the authors: Music Encoding and Linked Data (MELD), which augments and extends MEI structures with semantic Web Annotations capable of addressing musically meaningful score sections, and Numbers Into Notes, an algorithmic composition tool that acts as a 'semantic signal generator' to drive the tool chain. The system demonstrates the concept of Digital Musical Objects (DMOs), and in particular DMO processing and recomposition. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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