Chatbots have become increasingly popular in the last years among both businesses and consumers. These conversational agents typ-ically 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 soft-ware 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, univer-sities, and conferences. In order to show the exibility of the proposed solution, we implemented two versions of AIDA-Bot which can run, re-spectively, on Alexa devices and web browsers.

AIDA-bot: A conversational agent to explore scholarly knowledge graphs

reforgiato recupero D.;
2021-01-01

Abstract

Chatbots have become increasingly popular in the last years among both businesses and consumers. These conversational agents typ-ically 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 soft-ware 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, univer-sities, and conferences. In order to show the exibility of the proposed solution, we implemented two versions of AIDA-Bot which can run, re-spectively, on Alexa devices and web browsers.
ChatBots
Knowledge Graphs
Scholarly Data
Virtual Assistant
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/334839
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