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Meloni, Antonello; Angioni, Simone; Salatino, Angelo; Osborne, Francesco; Reforgiato Recupero, Diego and Motta, Enrico
(2021).
Abstract
Chatbots have become increasingly popular in the last years among both businesses and consumers. These conversational agents typically use natural language understanding technologies for reformulating questions as queries to a knowledge base and answer the user according to the resulting information. This demo paper proposes a general software architecture for chatbots that can be employed for exploring large-scale knowledge graphs of scholarly data. It also introduces AIDA-Bot, a working prototype that implements this architecture and can answer queries about scientific publications, research topics, researchers, universities, and conferences. In order to show the flexibility of the proposed solution, we implemented two versions of AIDA-Bot which can run, respectively, on Alexa devices and web browsers.