A modular approach to knowledge graphs and FAIR data in healthcare

Matthijs Sloep; Petros Kalendralis; Johan van Soest; Rianne Fijten

A modular approach to knowledge graphs and FAIR data in healthcare

Matthijs Sloep^*, Petros Kalendralis, Johan van Soest, Rianne Fijten

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

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Abstract

In healthcare, and more specifically cancer treatment, data sharing is essential yet difficult. 1 in 5 people diagnosed with cancer have a rare type of cancer, which means considerable time is needed to collect sufficient data for research. Combining data from multiple centres is therefore vital, unfortunately, linking this data is not straightforward. There are various ways healthcare centres store their data, due to for instance differences in treatment protocols and clinical systems. This means different variables and annotations are used. Consequently before we can solve any medical problems, we first need to solve this data integration challenge.

Original language	English
Title of host publication	Semantic Web Applications and Tools for Health Care and Life Sciences
Pages	155-156
Number of pages	2
Volume	2849
Publication status	Published - 1 Jan 2019
Event	12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences - Edinburgh, United Kingdom Duration: 10 Dec 2019 → 11 Dec 2019 Conference number: 12

Publication series

Series	CEUR Workshop Proceedings
ISSN	1613-0073

Conference

Conference	12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences
Abbreviated title	SWAT4HCLS 2019
Country/Territory	United Kingdom
City	Edinburgh
Period	10/12/19 → 11/12/19

Keywords

FAIR data
Knowledge graphs
Linked data
Modular

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https://ceur-ws.org/Vol-2849/paper-28.pdf

Cite this

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title = "A modular approach to knowledge graphs and FAIR data in healthcare",

abstract = "In healthcare, and more specifically cancer treatment, data sharing is essential yet difficult. 1 in 5 people diagnosed with cancer have a rare type of cancer, which means considerable time is needed to collect sufficient data for research. Combining data from multiple centres is therefore vital, unfortunately, linking this data is not straightforward. There are various ways healthcare centres store their data, due to for instance differences in treatment protocols and clinical systems. This means different variables and annotations are used. Consequently before we can solve any medical problems, we first need to solve this data integration challenge.",

keywords = "FAIR data, Knowledge graphs, Linked data, Modular",

author = "Matthijs Sloep and Petros Kalendralis and {van Soest}, Johan and Rianne Fijten",

note = "Publisher Copyright: Copyright {\textcopyright} 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).; 12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, SWAT4HCLS 2019 ; Conference date: 10-12-2019 Through 11-12-2019",

year = "2019",

month = jan,

day = "1",

language = "English",

volume = "2849",

series = "CEUR Workshop Proceedings",

publisher = "CEUR-WS",

pages = "155--156",

booktitle = "Semantic Web Applications and Tools for Health Care and Life Sciences",

}

Sloep, M , Kalendralis, P , van Soest, J & Fijten, R 2019, A modular approach to knowledge graphs and FAIR data in healthcare. in Semantic Web Applications and Tools for Health Care and Life Sciences. vol. 2849, CEUR Workshop Proceedings, pp. 155-156, 12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, Edinburgh, United Kingdom, 10/12/19. <https://ceur-ws.org/Vol-2849/paper-28.pdf>

A modular approach to knowledge graphs and FAIR data in healthcare. / Sloep, Matthijs ; Kalendralis, Petros ; van Soest, Johan et al.
Semantic Web Applications and Tools for Health Care and Life Sciences. Vol. 2849 2019. p. 155-156 (CEUR Workshop Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

TY - GEN

T1 - A modular approach to knowledge graphs and FAIR data in healthcare

AU - Sloep, Matthijs

AU - Kalendralis, Petros

AU - van Soest, Johan

AU - Fijten, Rianne

N1 - Conference code: 12

PY - 2019/1/1

Y1 - 2019/1/1

N2 - In healthcare, and more specifically cancer treatment, data sharing is essential yet difficult. 1 in 5 people diagnosed with cancer have a rare type of cancer, which means considerable time is needed to collect sufficient data for research. Combining data from multiple centres is therefore vital, unfortunately, linking this data is not straightforward. There are various ways healthcare centres store their data, due to for instance differences in treatment protocols and clinical systems. This means different variables and annotations are used. Consequently before we can solve any medical problems, we first need to solve this data integration challenge.

AB - In healthcare, and more specifically cancer treatment, data sharing is essential yet difficult. 1 in 5 people diagnosed with cancer have a rare type of cancer, which means considerable time is needed to collect sufficient data for research. Combining data from multiple centres is therefore vital, unfortunately, linking this data is not straightforward. There are various ways healthcare centres store their data, due to for instance differences in treatment protocols and clinical systems. This means different variables and annotations are used. Consequently before we can solve any medical problems, we first need to solve this data integration challenge.

KW - FAIR data

KW - Knowledge graphs

KW - Linked data

KW - Modular

M3 - Conference article in proceeding

VL - 2849

T3 - CEUR Workshop Proceedings

SP - 155

EP - 156

BT - Semantic Web Applications and Tools for Health Care and Life Sciences

T2 - 12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences

Y2 - 10 December 2019 through 11 December 2019

ER -

A modular approach to knowledge graphs and FAIR data in healthcare

Abstract

Publication series

Conference

Keywords

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