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Ruben Verborgh

Tackling the Write-to-Read Web of Data with Trustflows

Ben De Meester, Julián Rojas Meléndez, Femke Ongenae, Pieter Colpaert, and Ruben Verborgh

The need for the read–write Linked Data Web is currently implemented as a Create, Read, Update or Delete (CRUD) strategy on resources, which implies that agents will read exactly what has once been written. In practice, however, deploying writeable Linked Data nodes in an ecosystem reveals the following problems. Data reuse is hindered as later data usage requirements diverge from how the data was originally written, as well as by evolving data models. Moreover, the absence of an authoritative source to guarantee auditability forces individual data point verification at the read side. We present key characteristics of writeable Linked Data nodes (cope with longevity for written data, combine read data using different models, and provide an explicit trust context) as arguments justifying the need for a more complex operational model. We apply a Command Query Responsibility Segregation pattern to decouple write and read interfaces, introduce semantic mappings within the writeable Linked Data node to support evolving data read requirements, and apply Event Sourcing aligned with PROV-O’s Actor-Entity-Activity model to provide an explicit trust context. We term this operational model “Trustflows”. Applied to the PACSOI use case, Trustflows showcases the additional affordances of handling data coming in different granularities, from different sources, adhering to different reading requirements.

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Published in 2025 in Proceedings of the Industry, Doctoral Consortium, Posters and Demos at ISWC 2025.

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Cite this article easily using its BibTeX entry: 

@inproceedings{demeester_iswc_2025,
  author = {De Meester, Ben and Rojas Mel\'endez, Juli\'an and Ongenae, Femke and Colpaert, Pieter and Verborgh, Ruben},
  title = {Tackling the Write-to-Read {Web} of Data with {Trustflows}},
  booktitle = {Proceedings of the Industry, Doctoral Consortium, Posters and Demos at ISWC 2025},
  editor = {Celino, Irene and Hassanzadeh, Oktie and Bernstein, Abraham and Noy, Natasha and Cheng, Gong and Wang, Shenghui and Ferrada, Sebasti{\'a}n and Soulard, Thibaut and Kozaki, Kouji and Takeda, Hideaki and Gentile, Anna Lisa},
  year = 2025,
  month = nov,
  series = {CEUR Workshop Proceedings},
  volume = 4085,
  issn = {1613-0073},
  pages = {233--237},
  publisher = {CEUR},
  url = {https://ceur-ws.org/Vol-4085/paper37.pdf},
}

Alternatively, pick a reference of your choice below:

ACM
Ben De Meester, Julián Rojas Meléndez, Femke Ongenae, Pieter Colpaert, and Ruben Verborgh. 2025. Tackling the Write-to-Read Web of Data with Trustflows. In Proceedings of the Industry, Doctoral Consortium, Posters and Demos at ISWC 2025 (CEUR Workshop Proceedings), CEUR, 233–237.
APA
De Meester, B., Rojas Meléndez, J., Ongenae, F., Colpaert, P., & Verborgh, R. (2025). Tackling the Write-to-Read Web of Data with Trustflows. In I. Celino, O. Hassanzadeh, A. Bernstein, N. Noy, G. Cheng, S. Wang, S. Ferrada, T. Soulard, K. Kozaki, H. Takeda, & A. L. Gentile (Eds.), Proceedings of the Industry, Doctoral Consortium, Posters and Demos at ISWC 2025 (Vol. 4085, pp. 233–237). CEUR.
IEEE
B. De Meester, J. Rojas Meléndez, F. Ongenae, P. Colpaert, and R. Verborgh, “Tackling the Write-to-Read Web of Data with Trustflows,” in Proceedings of the Industry, Doctoral Consortium, Posters and Demos at ISWC 2025, 2025, vol. 4085, pp. 233–237.
LNCS
De Meester, B., Rojas Meléndez, J., Ongenae, F., Colpaert, P., Verborgh, R.: Tackling the Write-to-Read Web of Data with Trustflows. In: Celino, I., Hassanzadeh, O., Bernstein, A., Noy, N., Cheng, G., Wang, S., Ferrada, S., Soulard, T., Kozaki, K., Takeda, H., and Gentile, A.L. (eds.) Proceedings of the Industry, Doctoral Consortium, Posters and Demos at ISWC 2025. pp. 233–237. CEUR (2025).
MLA
De Meester, Ben, et al. “Tackling the Write-to-Read Web of Data with Trustflows.” Proceedings of the Industry, Doctoral Consortium, Posters and Demos at ISWC 2025, edited by Irene Celino et al., vol. 4085, CEUR, 2025, pp. 233–37.