@inproceedings{55833,
  abstract     = {{We present a new multi-layered, conceptual model for associating musical source materials to musicological arguments. We describe our proposal for operationalizing these concepts through a framework for musical annotation which we have implemented using RDF. Briefly stated, this model shows how portions of digitized data in various files and formats can be identified, selected, labelled, and compared.}},
  author       = {{Shibata, Elisabete and Lewis, David and Saccomano, Mark and Kepper, Johannes and Page, Kevin}},
  booktitle    = {{Proceedings of the Music Encoding Conference 2022}},
  editor       = {{Weigl, David and Bain, Jennifer and Ang, Ailynn}},
  keywords     = {{BitH, Linked Data}},
  pages        = {{145–150}},
  title        = {{{A New Conceptual Model for Musical Sources and Musicological Studies}}},
  doi          = {{https://doi.org/10.17613/8p2c-1q77}},
  year         = {{2023}},
}

@inproceedings{55832,
  abstract     = {{Digital musicology research often proceeds by extending and enriching its evidence base as it progresses, rather than starting with a complete corpus of data and metadata, as a consequence of an emergent research need. In this paper, we consider a research workflow which assumes an incremental approach to data gathering and annotation. We describe tooling which implements parts of this workflow, developed to support the study of nineteenth-century music arrangements, and evaluate the applicability of our approach through interviews with musicologists and music editors who have used the tools. We conclude by considering extensions of this approach and the wider implications for digital musicology and music information retrieval.}},
  author       = {{Lewis, David and Shibata, Elisabete and Hankinson, Andrew and Kepper, Johannes and Page, Kevin R. and Rosendahl, Lisa and Saccomano, Mark and Siegert, Christine}},
  keywords     = {{BitH, Linked Data}},
  title        = {{{Supporting Musicological Investigations With Information Retrieval Tools: An Iterative Approach to Data Collection}}},
  doi          = {{10.5281/ZENODO.10265407}},
  year         = {{2023}},
}