Modeling the Complexity of Music Metadata in Semantic Graphs for Exploration and Discovery - Archive ouverte HAL Access content directly
Conference Papers Year : 2017

Modeling the Complexity of Music Metadata in Semantic Graphs for Exploration and Discovery

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Abstract

Representing and retrieving fine-grained information related to something as complex as music composition, recording and performance is a challenging activity. This complexity requires that the data model enables to describe different outcomes of the creative process, from the writing of the score, to its performance and publishing. In this paper, we show how we design the DOREMUS ontology as an extension of the FRBRoo model in order to represent music metadata coming from different libraries and cultural institutions and how we publish this data as RDF graphs. We designed and re-used several controlled vocabularies that provide common identifiers that overcome the differences in language and alternative forms of needed concepts. These graphs are interlinked to each other and to external resources on the Web of Data. We show how these graphs can be walked through for designing a web-based application providing an exploratory search engine for presenting complex music metadata to the end-user. Finally, we demonstrate how this model and this exploratory application is suitable for answering non-trivial questions collected from experts and is a first step towards a fully fledged recommendation engine.
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Dates and versions

hal-01987671 , version 1 (24-01-2019)

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Pasquale Lisena, Raphaël Troncy, Konstantin Todorov, Manel Achichi. Modeling the Complexity of Music Metadata in Semantic Graphs for Exploration and Discovery. DLfM: Digital Libraries for Musicology, Oct 2017, Shanghai, China. pp.17-24, ⟨10.1145/3144749.3144754⟩. ⟨hal-01987671⟩
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