Ruben Verborgh’s data

Matches in Ruben’s data for { <https://ruben.verborgh.org/publications/demeester_iswc_2025/#publication> ?p ?o }

• publication author me.
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• publication about trust.
• publication about reuse.
• publication about Linked_Data.
• publication about World_Wide_Web.
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• publication title "Tackling the Write-to-Read Web of Data with Trustflows".
• publication isPartOf proceedings_of_the_industry_doctoral_consortium_posters_and_demos_at_iswc_2025.
• publication name "Tackling the Write-to-Read Web of Data with Trustflows".
• publication label "Tackling the Write-to-Read Web of Data with Trustflows".
• publication name "Tackling the Write-to-Read Web of Data with Trustflows".
• publication topic trust.
• publication topic reuse.
• publication topic Linked_Data.
• publication topic World_Wide_Web.
• publication datePublished "2025".
• publication subject trust.
• publication subject reuse.
• publication subject Linked_Data.
• publication subject World_Wide_Web.
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• publication topic trust.
• publication topic reuse.
• publication topic Linked_Data.
• publication topic World_Wide_Web.
• publication abstract "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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