Maelis4Skrid: an Approximate Query Engine for an Online Graph-Based Musical Score Library
Résumé
Digital Score Libraries are libraries dedicated to the storing, the management and the dissemination of musical scores. While document-oriented sheet musical scores have been the traditional way to preserve and share Western musical works, the emergence of modern digital formats opens the way to services that leverage the musical content itself, including that of retrieving music pieces based on their musical content. In this demonstration paper, we present the Skrid platform, an online Digital Score Library (DSL) that utilizes a graph-based storage for the scores' musical content. We also present Maelis, a flexible querying module implemented inside Skrid, that enables melodic pattern approximate search, ranks the results by relevance, and provides a detailed explanation of the answer. To our knowledge, no other DSL implements an approximate melodic pattern retrieval resulting in ranked and explained answers. The demonstration is composed of two scenarios that showcase the key features of Maelis embedded in Skrid. The scenarios are accompanied by an online interaction inviting the audience to engage with the system.
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