pilod talk: dutch ships and sailors

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Talk given at PiLOD meeting (25-6-2014) about the Dutch Ships and Sailors case of integrating digital history datasets.

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Dutch Ships and Sailors

Victor de Boer - VU Amsterdam / Beeld en Geluid – v.de.boer@vu.nl –

- 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

DataLab

http://dutchshipsandsailors.nl/data

v.de.boer@vu.nl

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