TDLib – a cross-platform client designed to facilitate creating custom apps on the Telegram platform.Anyone can independently verify that Telegram apps you download from App Store or Google Play were built using the exact same code that we publish. We performed a user study evaluation with 15 domain experts showing a high level of interest and engagement with the proposed agent.Telegram apps are open source and support reproducible builds. We have developed four prototypes of AIDA-Bot on Alexa products, web browsers, Telegram clients, and humanoid robots. AIDA-Bot can answer natural language questions about scientific articles, research concepts, researchers, institutions, and research venues. On top of the proposed architecture, we developed AIDA-Bot, a simple chatbot that leverages a large-scale knowledge graph of scholarly data.

Following the same direction, this paper describes how to integrate conversational agents with knowledge graphs focused on the scholarly domain, a.k.a. In the scientific and academic research domain, they are increasingly used to illustrate the relevant actors (e.g., researchers, institutions), documents (e.g., articles, patents), entities (e.g., concepts, innovations), and other related information. In the same period, knowledge graphs have attracted significant attention from business and academia as robust and scalable representations of information.

In the last few years, chatbots have become mainstream solutions adopted in a variety of domains for automatizing communication at scale. Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain. Meloni, Antonello Angioni, Simone Salatino, Angelo Osborne, Francesco Reforgiato Recupero, Diego and Motta, Enrico

Telegram web client