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

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research

1 Citation (Scopus)

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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.

Original language	English
Title of host publication	14th IEEE International Conference on Semantic Computing (ICSC 2020)
Publisher	IEEE
Pages	315-320
Number of pages	6
ISBN (Electronic)	9781728163321
ISBN (Print)	978-1-7281-6332-1
DOIs	https://doi.org/10.1109/ICSC.2020.00063
Publication status	Published - Feb 2020
Event	14th IEEE International Conference on Semantic Computing (ICSC2020) - San Diego, California, United States Duration: 3 Feb 2020 → 5 Feb 2020 https://conferences.computer.org/icsc/2020/#!/home

Publication series

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

Conference

Conference	14th IEEE International Conference on Semantic Computing (ICSC2020)
Country/Territory	United States
City	San Diego, California
Period	3/02/20 → 5/02/20
Internet address	https://conferences.computer.org/icsc/2020/#!/home

Keywords

data curation
knowledge base creation
Jigsaw metaphor

Access to Document

10.1109/ICSC.2020.00063

publishedFinal published version, 622 KB

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

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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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year = "2020",

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

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research

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AU - Riggio, Jonathan

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AU - Vinken, Mathieu

AU - Vanhaecke, Tamara

AU - De Troyer, Olga

PY - 2020/2

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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. p. 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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