The Semantic Web community has successfully deployed a significant number of RDF datasets on the Web. However, for ordinary users, to access information available on this datasets, it is still a cumbersome and time-demanding task that requires the knowledge of description frameworks and the use of formal languages. We introduce the Neural SPARQL Machine (NSpM) Telegram Chatbot, a chatbot built on top the open-source Telegram platform that facilitates the natural language querying of RDF datasets through the NSpM architecture. We show the different APIs implemented by the proposed chatbot as well as the processing steps from a natural language query to its corresponding answer. Additionally, we demonstrate how to instantiate as well as how to query other RDF datasets.

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