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Medientyp:
E-Artikel
Titel:
A survey on semantic question answering systems
Beteiligte:
Antoniou, Christina;
Bassiliades, Nick
Erschienen:
Cambridge University Press (CUP), 2022
Erschienen in:The Knowledge Engineering Review
Sprache:
Englisch
DOI:
10.1017/s0269888921000138
ISSN:
0269-8889;
1469-8005
Entstehung:
Anmerkungen:
Beschreibung:
<jats:title>Abstract</jats:title>
<jats:p>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 and 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 SQA and classifies SQA systems based on different criteria.</jats:p>