Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain

In the last few years, chatbots have become mainstream solutions adopted in a variety of domains for automatizing communication at scale. same period, knowledge graphs attracted significant attention from business and academia as robust scalable representations information. scientific academic research domain, they are increasingly used to illustrate relevant actors (e.g., researchers, institutions), documents articles, patents), entities concepts, innovations), other related Following direction, this paper describes how integrate conversational agents with focused on scholarly a.k.a. Scientific Knowledge Graphs. On top proposed architecture, we developed AIDA-Bot, simple chatbot that leverages large-scale graph data. AIDA-Bot can answer natural language questions about institutions, venues. We four prototypes Alexa products, web browsers, Telegram clients, humanoid robots. performed user study evaluation 15 domain experts showing high level interest engagement agent.