Digital Music Queen Mary University of London Mile End Road / University of London New Cross / /
IndustryTerm
Web paradigm / online music informatics / audio analysis algorithms / music information retrieval applications / Web The / localised search / client/server / software tools / host applications / data generation tools / collaborative research using online collections / Web Ontologies An ontology / Web languages / Internet-sized / similarity search / music research software / interactive applications / non-redistributable media / exhaustive search / visualisation tool / Web Chris Cannam / Online Music Recognition / contextual search database / Web Services methods / software development kit / online dissemination / data with these tools / content-based search / search component / audio feature extraction algorithm / online use / Web server / audio analysis tools / software libraries / Web technologies / search engine / larger systems / linear search / /
Organization
Mark Sandler Centre / University of London New Cross / London / Department of Computing Goldsmiths / University of London / /
Person
Christophe Rhodes / Michael O. Jewell / /
Position
Queen / author / same author / artist / universal audio feature extractor / /
Product
Qt / /
ProgrammingLanguage
C / Python / XML Schema / SQL / Common Lisp / C++ / /
Technology
XML / JSON / audio feature extraction algorithm / API / audio analysis algorithms / how far Semantic Web technologies / search engine / Uniform Resource Identifier / Semantic Web technologies / HTTP / Resource Description Framework / RDF / client/server / Web server / calculated using the audioDB API / /
Linked Data And You: Bringing music research software into the Semantic Web Chris Cannam, Mark Sandler Centre for Digital Music Queen Mary University of London Mile End Road, London, E1 4NS