Facilitating Data Curation: a Solution Developed in the Toxicology Domain

Christophe Debruyne; Jonathan Riggio; Emma Gustafson; Declan O'Sullivan; Mathieu Vinken; Tamara Vanhaecke; Olga De Troyer

doi:10.1109/ICSC.2020.00063

Facilitating Data Curation: a Solution Developed in the Toxicology Domain

Christophe Debruyne, Jonathan Riggio, Emma Gustafson, Declan O'Sullivan, Mathieu Vinken, Tamara Vanhaecke, Olga De Troyer

Onderzoeksoutput: Conference paper

1 Citaat (Scopus)

89 Downloads (Pure)

Samenvatting

Toxicology aims to understand the adverse effects of chemical compounds or physical agents on living organisms. For chemicals, much information regarding safety testing of cosmetic ingredients is now scattered in a plethora of safety evaluation reports. Toxicologists in our university intend to collect this information into a single repository. Their current approach uses spreadsheets, does not scale well, and makes data curation and querying cumbersome. Semantic technologies (e.g., RDF, OWL, and Linked Data principles) would be more appropriate for this purpose. However, this technology is not very accessible to toxicologists without extensive training. In this paper, we report on a tool that supports subject matter experts in the construction of an RDF-based knowledge base for the toxicology domain. The tool is using the jigsaw metaphor for guiding the subject matter experts. We demonstrate that the jigsaw metaphor is a viable option for generating RDF. Future work includes investigating appropriate methods and tools for knowledge evolution and data analysis.

Originele taal-2	English
Titel	14th IEEE International Conference on Semantic Computing (ICSC 2020)
Uitgeverij	IEEE
Pagina's	315-320
Aantal pagina's	6
ISBN van elektronische versie	9781728163321
ISBN van geprinte versie	978-1-7281-6332-1
DOI's	https://doi.org/10.1109/ICSC.2020.00063
Status	Published - feb 2020
Evenement	14th IEEE International Conference on Semantic Computing (ICSC2020) - San Diego, California, United States Duur: 3 feb 2020 → 5 feb 2020 https://conferences.computer.org/icsc/2020/#!/home

Publicatie series

Naam	Proceedings - 14th IEEE International Conference on Semantic Computing, ICSC 2020

Conference

Conference	14th IEEE International Conference on Semantic Computing (ICSC2020)
Land/Regio	United States
Stad	San Diego, California
Periode	3/02/20 → 5/02/20
Internet adres	https://conferences.computer.org/icsc/2020/#!/home

Toegang tot document

10.1109/ICSC.2020.00063

publishedFinal published version, 622 KB

Andere bestanden en links

Link to publication in Scopus

IRP19: Proefdiervrije Methoden voor de Toxicologische Evaluatie van Chemische Stoffen.
Vanhaecke, T., Vinken, M., De Kock, J., De Troyer, O. & Quinn, P.
1/11/19 → 31/10/24
Project: Fundamenteel

Citeer dit

Debruyne, C., Riggio, J., Gustafson, E., O'Sullivan, D., Vinken, M., Vanhaecke, T., & De Troyer, O. (2020). Facilitating Data Curation: a Solution Developed in the Toxicology Domain. In 14th IEEE International Conference on Semantic Computing (ICSC 2020) (blz. 315-320). [9031525] (Proceedings - 14th IEEE International Conference on Semantic Computing, ICSC 2020). IEEE. https://doi.org/10.1109/ICSC.2020.00063

Debruyne, Christophe ; Riggio, Jonathan ; Gustafson, Emma ; O'Sullivan, Declan ; Vinken, Mathieu ; Vanhaecke, Tamara ; De Troyer, Olga. / Facilitating Data Curation: a Solution Developed in the Toxicology Domain. 14th IEEE International Conference on Semantic Computing (ICSC 2020). IEEE, 2020. blz. 315-320 (Proceedings - 14th IEEE International Conference on Semantic Computing, ICSC 2020).

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title = "Facilitating Data Curation: a Solution Developed in the Toxicology Domain",

abstract = "Toxicology aims to understand the adverse effects of chemical compounds or physical agents on living organisms. For chemicals, much information regarding safety testing of cosmetic ingredients is now scattered in a plethora of safety evaluation reports. Toxicologists in our university intend to collect this information into a single repository. Their current approach uses spreadsheets, does not scale well, and makes data curation and querying cumbersome. Semantic technologies (e.g., RDF, OWL, and Linked Data principles) would be more appropriate for this purpose. However, this technology is not very accessible to toxicologists without extensive training. In this paper, we report on a tool that supports subject matter experts in the construction of an RDF-based knowledge base for the toxicology domain. The tool is using the jigsaw metaphor for guiding the subject matter experts. We demonstrate that the jigsaw metaphor is a viable option for generating RDF. Future work includes investigating appropriate methods and tools for knowledge evolution and data analysis.",

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author = "Christophe Debruyne and Jonathan Riggio and Emma Gustafson and Declan O'Sullivan and Mathieu Vinken and Tamara Vanhaecke and {De Troyer}, Olga",

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Debruyne, C, Riggio, J, Gustafson, E, O'Sullivan, D, Vinken, M , Vanhaecke, T & De Troyer, O 2020, Facilitating Data Curation: a Solution Developed in the Toxicology Domain. in 14th IEEE International Conference on Semantic Computing (ICSC 2020)., 9031525, Proceedings - 14th IEEE International Conference on Semantic Computing, ICSC 2020, IEEE, blz. 315-320, 14th IEEE International Conference on Semantic Computing (ICSC2020) , San Diego, California, United States, 3/02/20. https://doi.org/10.1109/ICSC.2020.00063

Facilitating Data Curation: a Solution Developed in the Toxicology Domain. / Debruyne, Christophe; Riggio, Jonathan; Gustafson, Emma; O'Sullivan, Declan; Vinken, Mathieu ; Vanhaecke, Tamara ; De Troyer, Olga.

14th IEEE International Conference on Semantic Computing (ICSC 2020). IEEE, 2020. blz. 315-320 9031525 (Proceedings - 14th IEEE International Conference on Semantic Computing, ICSC 2020).

Onderzoeksoutput: Conference paper

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AU - Debruyne, Christophe

AU - Riggio, Jonathan

AU - Gustafson, Emma

AU - O'Sullivan, Declan

AU - Vinken, Mathieu

AU - Vanhaecke, Tamara

AU - De Troyer, Olga

PY - 2020/2

Y1 - 2020/2

N2 - Toxicology aims to understand the adverse effects of chemical compounds or physical agents on living organisms. For chemicals, much information regarding safety testing of cosmetic ingredients is now scattered in a plethora of safety evaluation reports. Toxicologists in our university intend to collect this information into a single repository. Their current approach uses spreadsheets, does not scale well, and makes data curation and querying cumbersome. Semantic technologies (e.g., RDF, OWL, and Linked Data principles) would be more appropriate for this purpose. However, this technology is not very accessible to toxicologists without extensive training. In this paper, we report on a tool that supports subject matter experts in the construction of an RDF-based knowledge base for the toxicology domain. The tool is using the jigsaw metaphor for guiding the subject matter experts. We demonstrate that the jigsaw metaphor is a viable option for generating RDF. Future work includes investigating appropriate methods and tools for knowledge evolution and data analysis.

AB - Toxicology aims to understand the adverse effects of chemical compounds or physical agents on living organisms. For chemicals, much information regarding safety testing of cosmetic ingredients is now scattered in a plethora of safety evaluation reports. Toxicologists in our university intend to collect this information into a single repository. Their current approach uses spreadsheets, does not scale well, and makes data curation and querying cumbersome. Semantic technologies (e.g., RDF, OWL, and Linked Data principles) would be more appropriate for this purpose. However, this technology is not very accessible to toxicologists without extensive training. In this paper, we report on a tool that supports subject matter experts in the construction of an RDF-based knowledge base for the toxicology domain. The tool is using the jigsaw metaphor for guiding the subject matter experts. We demonstrate that the jigsaw metaphor is a viable option for generating RDF. Future work includes investigating appropriate methods and tools for knowledge evolution and data analysis.

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BT - 14th IEEE International Conference on Semantic Computing (ICSC 2020)

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Y2 - 3 February 2020 through 5 February 2020

ER -

Debruyne C, Riggio J, Gustafson E, O'Sullivan D, Vinken M , Vanhaecke T et al. Facilitating Data Curation: a Solution Developed in the Toxicology Domain. In 14th IEEE International Conference on Semantic Computing (ICSC 2020). IEEE. 2020. blz. 315-320. 9031525. (Proceedings - 14th IEEE International Conference on Semantic Computing, ICSC 2020). https://doi.org/10.1109/ICSC.2020.00063

Facilitating Data Curation: a Solution Developed in the Toxicology Domain

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Conference

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Andere bestanden en links

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Projecten

IRP19: Proefdiervrije Methoden voor de Toxicologische Evaluatie van Chemische Stoffen.

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