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KBot: a Knowledge graph based chatBot for natural language understanding over linked data
2020
IEEE Access
With the rapid progress of the semantic web, a huge amount of structured data has become available on the web in the form of knowledge bases (KBs). Making these data accessible and useful for end-users is one of the main objectives of chatbots over linked data. Building a chatbot over linked data raises different challenges, including user queries understanding, multiple knowledge base support, and multilingual aspect. To address these challenges, we first design and develop an architecture to
doi:10.1109/access.2020.3016142
fatcat:d5jjftfr4bgxpfp5d7opmemviy