What Would You Like to Visit Next? – Using a Knowledge-Graph Driven Museum Guide in a Virtual Exhibition

Frontiers in artificial intelligence and applications

Abstract

Conversational agents have been recently incorporated into Virtual Heritage to provide more immersive and interactive user experience. However, existing chatbot guides lack the capacity to leverage the rich background knowledge graphs (KGs) to provide better interactions between visitors and cultural collections. In this paper, we present a KG driven conversational museum guide that answers visitor’s questions and recommend relevant art objects in a virtual exhibition, while modelling user interest to offer personalised information and guidance.

Authors 3

1. Dou Liu

   University of Twente

   Affiliation as printed

   University of Twente, Enschede, The Netherlands

2. Claudia Alessandra Libbi Aachen

   Leiden University

   Affiliation as printed

   Leiden University, Leiden, The Netherlands

3. Delaram Javdani Rikhtehgar

   University of Twente

   Affiliation as printed

   University of Twente, Enschede, The Netherlands