C. Antoniou, N. Bassiliades, "Α Survey on Semantic Question Answering Systems", The Knowledge Engineering Review, vol. 37, p. e2, 2022.
Author(s): C. Antoniou, N. Bassiliades
Appeared In: The Knowledge Engineering Review, vol. 37, p. e2, 2022.
Keywords: Semantic Question Answering Systems, Semantic Web, Linked Data
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Abstract: Recently, many question answering systems that derive answers from linked data repositories have been developed. The purpose of this survey is to identify the common features-approaches of the semantic question answering (SQA) systems, although many different and prototype systems have been designed. The SQA systems use a formal query language like SPARQL and knowledge of a specific vocabulary. This paper analyses different frameworks, architectures or systems that perform semantic question answering and classifies SQA systems based on different criteria.