The GeoLink knowledge graph

Michelle Cheatham; Adila Krisnadhi; Reihaneh Amini; Pascal Hitzler; Krzysztof Janowicz; Adam Shepherd; Tom Narock; Matt Jones; Peng Ji

doi:10.1080/20964471.2018.1469291

The GeoLink knowledge graph

Michelle Cheatham, Adila Krisnadhi, Reihaneh Amini, Pascal Hitzler, Krzysztof Janowicz, Adam Shepherd, Tom Narock, Matt Jones, Peng Ji

Department of Computer Science

Research output: Contribution to journal › Article › peer-review

22 Citations (Scopus)

Abstract

GeoLink has leveraged linked data principles to create a dataset that allows users to seamlessly query and reason over some of the most prominent geoscience metadata repositories in the United States. The GeoLink dataset includes such diverse information as port calls made by oceanographic cruises, physical sample metadata, research project funding and staffing, and authorship of technical reports. The data has been published according to best practices for linked data and is publicly available via a SPARQL Protocol and RDF Query Language (SPARQL) end point that at present contains more than 45 million Resource Description Framework (RDF) triples together with a collection of ontologies and geo-visualization tools. This article describes the geoscience datasets, the modeling and publication process, and current uses of the dataset. The focus is on providing enough detail to enable researchers, application developers and others who wish to leverage the GeoLink data in their own work to do so. The dataset is available at http://hdl.handle.net/1912/9524.

Original language	English
Pages (from-to)	131-143
Number of pages	13
Journal	Big Earth Data
Volume	2
Issue number	2
DOIs	https://doi.org/10.1080/20964471.2018.1469291
Publication status	Published - 3 Apr 2018

Keywords

Geoscience data
knowledge graph
linked data
oceanographic data
ontology

Access to Document

10.1080/20964471.2018.1469291

Cite this

@article{5e05cfe491c948ef9163bb618779898f,

title = "The GeoLink knowledge graph",

abstract = "GeoLink has leveraged linked data principles to create a dataset that allows users to seamlessly query and reason over some of the most prominent geoscience metadata repositories in the United States. The GeoLink dataset includes such diverse information as port calls made by oceanographic cruises, physical sample metadata, research project funding and staffing, and authorship of technical reports. The data has been published according to best practices for linked data and is publicly available via a SPARQL Protocol and RDF Query Language (SPARQL) end point that at present contains more than 45 million Resource Description Framework (RDF) triples together with a collection of ontologies and geo-visualization tools. This article describes the geoscience datasets, the modeling and publication process, and current uses of the dataset. The focus is on providing enough detail to enable researchers, application developers and others who wish to leverage the GeoLink data in their own work to do so. The dataset is available at http://hdl.handle.net/1912/9524.",

keywords = "Geoscience data, knowledge graph, linked data, oceanographic data, ontology",

author = "Michelle Cheatham and Adila Krisnadhi and Reihaneh Amini and Pascal Hitzler and Krzysztof Janowicz and Adam Shepherd and Tom Narock and Matt Jones and Peng Ji",

note = "Publisher Copyright: {\textcopyright} 2018 The Author(s). Published by Taylor & Francis Group and Science Press on behalf of the International Society for Digital Earth, supported by the CAS Earth Strategic Priority Research Programme.",

year = "2018",

month = apr,

day = "3",

doi = "10.1080/20964471.2018.1469291",

language = "English",

volume = "2",

pages = "131--143",

journal = "Big Earth Data",

issn = "2096-4471",

publisher = "Taylor and Francis Ltd.",

number = "2",

}

TY - JOUR

T1 - The GeoLink knowledge graph

AU - Cheatham, Michelle

AU - Krisnadhi, Adila

AU - Amini, Reihaneh

AU - Hitzler, Pascal

AU - Janowicz, Krzysztof

AU - Shepherd, Adam

AU - Narock, Tom

AU - Jones, Matt

AU - Ji, Peng

N1 - Publisher Copyright: © 2018 The Author(s). Published by Taylor & Francis Group and Science Press on behalf of the International Society for Digital Earth, supported by the CAS Earth Strategic Priority Research Programme.

PY - 2018/4/3

Y1 - 2018/4/3

N2 - GeoLink has leveraged linked data principles to create a dataset that allows users to seamlessly query and reason over some of the most prominent geoscience metadata repositories in the United States. The GeoLink dataset includes such diverse information as port calls made by oceanographic cruises, physical sample metadata, research project funding and staffing, and authorship of technical reports. The data has been published according to best practices for linked data and is publicly available via a SPARQL Protocol and RDF Query Language (SPARQL) end point that at present contains more than 45 million Resource Description Framework (RDF) triples together with a collection of ontologies and geo-visualization tools. This article describes the geoscience datasets, the modeling and publication process, and current uses of the dataset. The focus is on providing enough detail to enable researchers, application developers and others who wish to leverage the GeoLink data in their own work to do so. The dataset is available at http://hdl.handle.net/1912/9524.

AB - GeoLink has leveraged linked data principles to create a dataset that allows users to seamlessly query and reason over some of the most prominent geoscience metadata repositories in the United States. The GeoLink dataset includes such diverse information as port calls made by oceanographic cruises, physical sample metadata, research project funding and staffing, and authorship of technical reports. The data has been published according to best practices for linked data and is publicly available via a SPARQL Protocol and RDF Query Language (SPARQL) end point that at present contains more than 45 million Resource Description Framework (RDF) triples together with a collection of ontologies and geo-visualization tools. This article describes the geoscience datasets, the modeling and publication process, and current uses of the dataset. The focus is on providing enough detail to enable researchers, application developers and others who wish to leverage the GeoLink data in their own work to do so. The dataset is available at http://hdl.handle.net/1912/9524.

KW - Geoscience data

KW - knowledge graph

KW - linked data

KW - oceanographic data

KW - ontology

UR - http://www.scopus.com/inward/record.url?scp=85066138099&partnerID=8YFLogxK

U2 - 10.1080/20964471.2018.1469291

DO - 10.1080/20964471.2018.1469291

M3 - Article

AN - SCOPUS:85066138099

SN - 2096-4471

VL - 2

SP - 131

EP - 143

JO - Big Earth Data

JF - Big Earth Data

IS - 2

ER -

The GeoLink knowledge graph

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this