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Interweaving and Enriching Digital Music Collections for Scholarship, Performance, and Enjoyment
Title | Interweaving and Enriching Digital Music Collections for Scholarship, Performance, and Enjoyment |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Conference Name | 6th International Conference on Digital Libraries for Musicology |
Authors | Weigl, D. M. , Goebl W. , Crawford T. , Gkiokas A. , Gutierrez N. F. , Porter A. , Santos P. , Karreman C. , Vroomen I. , Liem C. C. S. , Sarasúa Á. , & van Tilburg M. |
Conference Start Date | 09/11/2019 |
Publisher | ACM |
Conference Location | The Hague, Netherlands |
Abstract | The turn toward the digital has opened up previously difficult to access musical materials to wider musicological scholarship. Digital repositories provide access to publicly licensed score images, score encodings, textual resources, audiovisual recordings, and mu-sic metadata. While each repository reveals rich information for scholarly investigation, the unified exploration and analysis of separate digital collections remains a challenge. TROMPA—TowardsRicher Online Music Public-domain Archives—addresses this through a knowledge graph interweaving composers, performers, and works described in established digital music libraries, facilitating discovery and combined access of complementary materials across collections.TROMPA provides for contribution of expert insights as citable, provenanced annotations, supporting analytical workflows and scholarly communication. Beyond scholars, the project targets four further user types: instrumental players; choir singers; orchestras; and music enthusiasts; with corresponding web applications providing specialised views of the same underlying knowledge graph.Thus, scholars’ annotations provide contextual information to other types of users; while performers’ rehearsal recordings and performative annotations, conductors’ marked up scores, and enthusiasts’ social discussions and listening behaviours, become available to scholarly analysis (per user consent). The knowledge graph is ex-posed as Linked Data, adhering to the FAIR principles of making data Findable, Accessible, Interoperable, and Re-usable, and sup-porting further interlinking, re-interpretation and re-use beyond the immediate scope of the project. |
preprint/postprint document | http://hdl.handle.net/10230/43230 |