A collection of scripts for transforming ONB music score metadata into a semantically enriched knowledge graph of music scores.

Starting from the ONB's raw music score dataset (Aleph export) data aggregation involves the following steps:

• Data normalization: extract relevant fields from raw aleph data (example) and transform to JSON (example)
• Data enrichment (example):
  • follow GND links in raw/normalized data and collect additional uris (e.g., DBpedia, VIAF)
  • find related Europeana items by (i) searching via the Europeana search API and (ii) filtering those that share at least one URI with the raw/normalized data
• Statistics computation: (example)
  • id: aleph document id
  • links_artwork: number of artwork links
  • persons: number of persons mentioned in metadata record
  • links_person_gnd: number of persons linked to GND
  • links_person_dbpedia: number of persons linked to DBPedia
  • links_person_viaf: number of persons linked to VIAF
  • related_europeana_items: number of persons possibly related to Europeana

Preconditions: Python 3.4.0 or greater installed

Install dependencies:

pip install -r requirements.txt

Enable script execution

chmod u+x *.py

Run data normalization script

./normalize -o data/normalized data/raw/*.xml

Run data enrichment script

./enrich -o data/enriched -e YOUR_EUROPEANA_API_KEY data/normalized/*.json