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Ruben Verborgh

SeGoFlow: A Semantic Governance Workflow Tool

by Sven Lieber, Anastasia Dimou, and Ruben Verborgh

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.

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Published in 2018 in Proceedings of the 15th ESWC: Posters and Demos.

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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:

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.
ACM
Sven Lieber, Anastasia Dimou, and Ruben Verborgh. 2018. SeGoFlow: A Semantic Governance Workflow Tool. In Aldo Gangemi et al., eds. Proceedings of the 15th ESWC: Posters and Demos. Lecture Notes in Computer Science. Springer, 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).
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, … M. Alam (Eds.), Proceedings of the 15th ESWC: Posters and Demos (Vol. 11155, pp. 95–99). Springer.
MLA
Lieber, Sven, Anastasia Dimou, and Ruben Verborgh. “SeGoFlow: A Semantic Governance Workflow Tool.” Proceedings of the 15th ESWC: Posters and Demos. Ed. Aldo Gangemi et al. Vol. 11155. Springer, 2018. 95–99. Print. Lecture Notes in Computer Science.

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