Dutch Ships and Sailors Linked Data

Victor de Boer; Jurjen Leinenga; F.G. Hoekstra; Matthias van Rossum

doi:10.1007/978-3-319-11964-9_15

Dutch Ships and Sailors Linked Data

Victor de Boer, Jurjen Leinenga, F.G. Hoekstra, Matthias van Rossum

Huygens ING - ICT

Research output: Chapter in book/volume › Contribution to conference proceedings › Scientific › peer-review

14 Citations (Scopus)

Abstract

We present the Dutch Ships and Sailors Linked Data Cloud. This heterogeneous dataset brings together four curated datasets on Dutch Maritime history as five-star linked data. The individual datasets use separate datamodels, designed in close collaboration with maritime historical researchers. The individual models are mapped to a common interoperability layer, allowing for analysis of the data on the general level. We present the datasets, modeling decisions, internal links and links to external data sources. We show ways of accessing the data and present a number of examples of how the dataset can be used for historical research. The Dutch Ships and Sailors Linked Data Cloud is a potential hub dataset for digital history research and a prime example of the benefits of Linked Data for this field.

Original language	English
Title of host publication	The Semantic Web–{ISWC} 2014
Subtitle of host publication	13th International Semantic Web Conference, Riva del Garda, Italy, October 19-23, 2014. Proceedings, Part I
Editors	Peter Mika, Tadia Tudorache, Abraham Bernstein
Publisher	Springer
Pages	229-244
Number of pages	16
ISBN (Electronic)	331911963X
ISBN (Print)	978-3-319-11963-2
DOIs	https://doi.org/10.1007/978-3-319-11964-9_15
Publication status	Published - 2014

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title = "Dutch Ships and Sailors Linked Data",

abstract = "We present the Dutch Ships and Sailors Linked Data Cloud. This heterogeneous dataset brings together four curated datasets on Dutch Maritime history as five-star linked data. The individual datasets use separate datamodels, designed in close collaboration with maritime historical researchers. The individual models are mapped to a common interoperability layer, allowing for analysis of the data on the general level. We present the datasets, modeling decisions, internal links and links to external data sources. We show ways of accessing the data and present a number of examples of how the dataset can be used for historical research. The Dutch Ships and Sailors Linked Data Cloud is a potential hub dataset for digital history research and a prime example of the benefits of Linked Data for this field.",

author = "{de Boer}, Victor and Jurjen Leinenga and F.G. Hoekstra and {van Rossum}, Matthias",

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Dutch Ships and Sailors Linked Data. / de Boer, Victor; Leinenga, Jurjen; Hoekstra, F.G. et al.
The Semantic Web–{ISWC} 2014: 13th International Semantic Web Conference, Riva del Garda, Italy, October 19-23, 2014. Proceedings, Part I. ed. / Peter Mika; Tadia Tudorache; Abraham Bernstein. Springer, 2014. p. 229-244.

Research output: Chapter in book/volume › Contribution to conference proceedings › Scientific › peer-review

TY - CHAP

T1 - Dutch Ships and Sailors Linked Data

AU - de Boer, Victor

AU - Leinenga, Jurjen

AU - Hoekstra, F.G.

AU - van Rossum, Matthias

PY - 2014

Y1 - 2014

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AB - We present the Dutch Ships and Sailors Linked Data Cloud. This heterogeneous dataset brings together four curated datasets on Dutch Maritime history as five-star linked data. The individual datasets use separate datamodels, designed in close collaboration with maritime historical researchers. The individual models are mapped to a common interoperability layer, allowing for analysis of the data on the general level. We present the datasets, modeling decisions, internal links and links to external data sources. We show ways of accessing the data and present a number of examples of how the dataset can be used for historical research. The Dutch Ships and Sailors Linked Data Cloud is a potential hub dataset for digital history research and a prime example of the benefits of Linked Data for this field.

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DO - 10.1007/978-3-319-11964-9_15

M3 - Contribution to conference proceedings

SN - 978-3-319-11963-2

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BT - The Semantic Web–{ISWC} 2014

A2 - Mika, Peter

A2 - Tudorache, Tadia

A2 - Bernstein, Abraham

PB - Springer

ER -

Dutch Ships and Sailors Linked Data

Abstract

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