Run with following parameters:

sources
example/0-accesses.csv
example/0-names.csv
example/0-systems.csv
mappings
example/mapping.rml
shapes
example/shape1.shacl
example/shape2.shacl
queries
example/q1.sparql
example/q2.sparql
example/q3.sparql
runners
example/application1.py
example/application2.py

to copy basic example: ./gradlew run --args='sources example/0-accesses.csv example/0-names.csv example/0-systems.csv mappings example/mapping.rml shapes example/shape1.shacl example/shape2.shacl queries example/q1.sparql example/q2.sparql example/q3.sparql runners example/application1.py example/application2.py'

to copy basic example with python mapping: ./gradlew run --args='ontology example/ontology.owl sources example/0-accesses.csv example/0-names.csv example/0-systems.csv pmappings example/mapping.py shapes example/shape1.shacl example/shape2.shacl queries example/q1.sparql example/q2.sparql example/q3.sparql runners example/application1.py example/application2.py'

Companion Planting example ./gradlew run --args='sources example/copla/companion_plants_including_taxon.csv example/copla/names-taxon-products.csv mappings example/copla/mapping.py queries example/copla/getPlants.sparql example/copla/getCompanions.sparql example/copla/getAntiCompanions.sparql'

Known limitations:

• Mappings must be converted to RDF already
• Shapes must be in separated files and are analyzed using a generic query
• Ontology is not considered
• Python dependencies work on filename literals