Knowledge Management (Interpretation)

Establishing meaningful narratives (storytelling) for DCH objects which are meaningful to identified user groups for interpretation purposes.
Using crowdsourcing and the Internet to provide documentation resources for experiencing, contributing and gaining understanding in cultural heritage scenarios. Systems for managing and re-using complex documentation and deriving knowledge e.g. for monuments and sites. Applications of Artificial Intelligence/Machine Learning in DCH. Applying Big Data Analytics to DCH. The role and applications of Linked Open Data in enriching DCH information, linking exhibited content to other relevant content to provide greater understanding. Curation of digital assets. linking exhibited content to other relevant content to provide greater understanding of the viewed item.

Specific conditions and parameters

  • Every object has a context, knowledge and a story
  • Different narrative theories
  • Defining other data-sources (books, images, 2D, 3D, audio, video)
  • Dynamic enrichment through cognitive computing, linked data, crowdsourcing and other methods