We have relevant datasets, repositories, frameworks and tools of relevance for research and technology transfer initiatives related to knowledge extraction. This section provides an overview on a selection of them and links to download or contact details.

The MdM Strategic Research Program has its own community in Zenodo for material available in this repository  as well as at the UPF e-repository  . Below a non-exhaustive list of datasets representative of the research in the Department.

As part of the promotion of the availability of resources, the creation of specific communities in Zenodo has also been promoted, at level of research communities (for instance, MIR and Educational Data Analytics) or MSc programs (for instance, the Master in Sound and Music Computing)



Back [TEXT] ELMD: Entity Linking for the Music Domain


ELMD is a corpus of annotated named entities from the music domain that comes from a collection of about 13k Last.fm artist biographies. Entities are linked to DBpedia thanks to a voting system among different state of the art Entity Linking systems (ELVIS) with a precision of at least 0,94. In addition, by setting up a higher confidence threshold it is possible to obtain a subset of ELMD that prioritizes higher Precision by sacrificing Recall.

  • Full details and download available here
  • ELVIS (Entity Linking Framework Voting and Integration System), the source code used to generate ELMD 1.0 and 2.0, is also available for download here
  • Scientific reference (full record here): Oramas S, Espinosa-Anke L, Sordo M, Saggion H, Serra X. ELMD: An Automatically Generated Entity Linking Gold Standard Dataset in the Music Domain. Proceedings of the Language Resource and Evaluation Conference 2016