A graph-based semantic recommender system for a reflective and personalised museum visit: Extended abstract

Offering personalised recommendations to visitors of a museum is a complex problem inherent to physical spaces. When at the same time specific applicative or museum objectives have to be taken into account, this becomes even more complicated. We introduce here a graph-based semantic recommender approach relying on ontological formalisation of knowledge about manipulated entities to solve the multi-dimensional recommendation problem encountered in museums.