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Journal of Big Data
AbstractKnowledge graphs are a powerful concept for querying large amounts of data. These knowledge graphs are typically enormous and are often not easily accessible to end-users because they require specialized knowledge in query languages such as SPARQL. Moreover, end-users need a deep understanding of the structure of the underlying data models often based on the Resource Description Framework (RDF). This drawback has led to the development of Question-Answering (QA) systems that enabledoi:10.1186/s40537-020-00383-w pmid:33489717 pmcid:PMC7799375 fatcat:ivmaekvac5et7e2qi4resuanz4