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Proceedings of the ACM Web Conference 2022
Providing access to information is the main and most important purpose of the Web. However, despite available easy-to-use tools (e.g., search engines, chatbots, question answering) the accessibility is typically limited by the capability of using the English language. This excludes a huge amount of people. In this work, we discuss Knowledge Graph Question Answering (KGQA) systems that aim at providing natural language access to data stored in Knowledge Graphs (KG). While several KGQA systemsdoi:10.1145/3485447.3511940 fatcat:o4uae3zfnzhd7hmochxwanih3a