The Linked Data Wiki: Leveraging Organizational Knowledge Bases with Linked Open Data

  • Matthias T. FrankEmail author
  • Stefan Zander
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 976)


Building meaningful knowledge bases for organizations like enterprises, NGOs or civil services is still a labor intensive and therefore expensive work, although semantic wiki approaches are already adopted in organizational contexts and corporate environments. One reason is that exploiting knowledge from external sources like other organizational knowledge bases or Linked Open Data as well as sharing knowledge in a meaningful way is difficult due to the lack of a common and shared schema definition. Therefore, redundant work has to be carried out for each new context. To overcome this issue, we introduce Linked Data Wiki, an approach that combines the power of Linked Open Vocabularies and -Data with established organizational semantic wiki systems for knowledge management in order to leverage the knowledge represented in organizational knowledge bases with Linked Open Data. Our approach includes a recommendation system to link concepts of an organizational context to openly published concepts and extract statements from that concepts that leverage the concept definition within the organizational context. The inclusion of potentially uncertain, incomplete, inconsistent or redundant public statements within an organization’s knowledge base poses the challenge of interpreting such data correctly within the respective context.


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.FZI Research Center for Information TechnologyKarlsruheGermany
  2. 2.Fachbereich Informatik, Hochschule DarmstadtDarmstadtGermany

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