SeGoFlow: A Semantic Governance Workflow Tool
Data management increasingly demands transparency with respect to data processing. Various stakeholders need information tailored to their needs, e.g. data management plans (DMP) for funding agencies or privacy policies for the public. DMPs and privacy policies are just two examples of documents describing aspects of data processing. Dedicated tools to create both already exist. However, creating each of them manually or semi-automatically remains a repetitive and cognitively challenging task. We propose a data-driven approach that semantically represents the data processing itself as workflows and serves as a base for different kinds of result-sets, generated with SPARQL, i.e. DMPs. Our approach is threefold: (i) users with domain knowledge semantically represent workflow components; (ii) other users can reuse these components to describe their data processing via semantically enhanced workflows; and, based on the semantic workflows, (iii) result-sets are automatically generated on-demand with SPARQL queries. This paper demonstrates our tool that implements the proposed approach, based on a use-case of a researcher who needs to provide a DMP to a funding agency to approve a proposed research project.
Published in 2018 in Proceedings of the 15th ESWC: Posters and Demos.
- SPARQL
- reuse
- research
Read this article online
- Request a digital copy of this article.
- Comment on this article.
Cite this article in your work
Cite this article easily using its BibTeX entry:
@inproceedings{lieber_eswc_demo_2018,
author = {Lieber, Sven and Dimou, Anastasia and Verborgh, Ruben},
title = {{SeGoFlow:} A Semantic Governance Workflow Tool},
booktitle = {Proceedings of the 15th ESWC: Posters and Demos},
year = 2018,
month = jun,
series = {Lecture Notes in Computer Science},
volume = 11155,
editor = {Gangemi, Aldo and Gentile, Anna Lisa and Nuzzolese, Andrea Giovanni and Rudolph, Sebastian and Maleshkova, Maria and Paulheim, Heiko and Pan, Jeff Z. and Alam, Mehwish},
publisher = {Springer},
pages = {95--99},
isbn = {978-3-319-98191-8},
doi = {10.1007/978-3-319-98192-5_8},
}
Alternatively, pick a reference of your choice below:
- ACM
- Sven Lieber, Anastasia Dimou, and Ruben Verborgh. 2018. SeGoFlow: A Semantic Governance Workflow Tool. In Proceedings of the 15th ESWC: Posters and Demos (Lecture Notes in Computer Science), Springer, 95–99.
- APA
- Lieber, S., Dimou, A., & Verborgh, R. (2018). SeGoFlow: A Semantic Governance Workflow Tool. In A. Gangemi, A. L. Gentile, A. G. Nuzzolese, S. Rudolph, M. Maleshkova, H. Paulheim, J. Z. Pan, & M. Alam (Eds.), Proceedings of the 15th ESWC: Posters and Demos (Vol. 11155, pp. 95–99). Springer.
- IEEE
- S. Lieber, A. Dimou, and R. Verborgh, “SeGoFlow: A Semantic Governance Workflow Tool,” in Proceedings of the 15th ESWC: Posters and Demos, 2018, vol. 11155, pp. 95–99.
- LNCS
- Lieber, S., Dimou, A., Verborgh, R.: SeGoFlow: A Semantic Governance Workflow Tool. In: Gangemi, A., Gentile, A.L., Nuzzolese, A.G., Rudolph, S., Maleshkova, M., Paulheim, H., Pan, J.Z., and Alam, M. (eds.) Proceedings of the 15th ESWC: Posters and Demos. pp. 95–99. Springer (2018).
- MLA
- Lieber, Sven, et al. “SeGoFlow: A Semantic Governance Workflow Tool.” Proceedings of the 15th ESWC: Posters and Demos, edited by Aldo Gangemi et al., vol. 11155, Springer, 2018, pp. 95–99.
Discuss this article
- Discover all publications by Ruben Verborgh.
- Find related articles on Google Scholar.
- Post your questions or comments below.