pilod talk: dutch ships and sailors
DESCRIPTION
Talk given at PiLOD meeting (25-6-2014) about the Dutch Ships and Sailors case of integrating digital history datasets.TRANSCRIPT
Dutch Ships and Sailors
Victor de Boer - VU Amsterdam / Beeld en Geluid – [email protected] –
- PiLOD 25 juni Beeld en Geluid -
The Problem:((Maritime) historical) data is not integrated
25+ Maritime datasets; Heterogeneous
Jur Leinenga (Huygens ING) Monsterrollen Noordelijke provincies
Matthias van Rossum (VU-hist) Generale Zeemonsterrollen VOC
KB Delpher
Dutch-Asiatic Shipping (Huygens ING)
VOC Opvarenden (DANS Easy)
Dutch Ships and SailorsCLARIN Call 4 project (9 mo. – ended april 2014)
Why Linked Data
• Heterogeneous models, one dataformat– Link what can be linked
• Keep specificity, allow integration at project level• Links to other sources: re-use knowledge
• Extensible• Allow multiple levels of semantic enrichment/
normalization – through Named Graphs – Provenance
DAS
GZMVOC
MDB
VOCOPVBegunstig
den
VOCOPVSoldijboek
en
PROV
AAT
VOCOPVOpvaren
den
foaf
owl:sameAs
dss:hasKBLink
rdfs:subClassOf,rdfs:subPropertyOf
dss:DAS link
skos :exactMatch
Integrate metadata (properties)
mdb:Schip1 mdb:Kof
mdb:scheepsType
das:ShipX das:Kofship
das:typeOfShip
dss:has_shipType
rdfs:subPropertyOf
rdfs:subPropertyOf
mdb:Schip1 mdb:Kof
mdb:scheepsType
das:ShipX das:Kofship
das:typeOfShip
Aat:Kof
Aat:Platbodems
skos:exactMatch
skos:exactMatch
skos:exactMatch
Link to other datasets
Provenance
• Individual named graphs have provenance information– Who made it (people/software?)– Based on what source– Content confidence
Data analysis and visualisation
Datathon
mdb HISCOmdb:rang-bediende 54010mdb:rang-boekhouder 33110mdb:rang-bootsman 98120mdb:rang-eerste_machinist 96910mdb:rang-hofmeester 22450mdb:rang-hofmeesteres 22450mdb:rang-kapitein 4217
mdb:rang-kapitein_bevelvoerder 4217mdb:rang-kok 53100
mdb:rang-kok_of_lichtmatroos 53100
DataLab
http://dutchshipsandsailors.nl/data