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Semantic Music Search

1. Research Purpose

Huge data processing on the Semantic data is still not convenient to archive in a single server machines. With employment of Cloud Computing Service, the data processing job is translated to a multiple machine’s work which ensures several our hour of time spend for over millions of triples.

2. Tool Description

  • Developed service, semantic music metadata searching service, cooperates with a cloud computing service developed by NexR, a Korean cloud computing service.
  • Data translation and indexing for the end user service deployment from raw data set are archived with Hadoop based machines’ work.
  • The raw data of the service is gather from KBS, musicBranz , maniaDB and imported to a ontology for the RDF description.