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Provenance research in cultural heritage is a complex domain requiring the integration of diverse datasets, intricate historical narratives, and evolving research methodologies. Traditional manual approaches to tracking object ownership, acquisition, and transfer are often time-intensive and fragmented. To bridge this gap, we present a Linked Data-driven approach using PM-Sampo , a semantic portal for provenance research, that effectively meets complex domain requirements through harmonising provenance metadata, data quality assessment, and visualisation. This demo will showcase how domain-specific provenance challenges can be addressed through existing semantic web technologies, paving the way for knowledge discovery and knowledge inference.

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PM-Sampo: Semantic Portal for Heritage Object Provenance Research

  • 会议论文

  • 发表日期：

    2026年

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  • Sarah Binta Alam Shoilee,
  • Annastiina Ahola,
  • Heikki Rantala,
  • Eero Hyvönen,
  • Victor de Boer,
  • Jacco van Ossenbruggen,
  • Susan Legene

摘要

Provenance research in cultural heritage is a complex domain requiring the integration of diverse datasets, intricate historical narratives, and evolving research methodologies. Traditional manual approaches to tracking object ownership, acquisition, and transfer are often time-intensive and fragmented. To bridge this gap, we present a Linked Data-driven approach using PM-Sampo , a semantic portal for provenance research, that effectively meets complex domain requirements through harmonising provenance metadata, data quality assessment, and visualisation. This demo will showcase how domain-specific provenance challenges can be addressed through existing semantic web technologies, paving the way for knowledge discovery and knowledge inference.