A survey on semantic question answering systems

Author:

Antoniou ChristinaORCID,Bassiliades NickORCID

Abstract

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 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.

Publisher

Cambridge University Press (CUP)

Subject

Artificial Intelligence,Software

Reference52 articles.

1. Diefenbach, D. , Migliatti, P. H. , Qawasmeh, O. , Lully, V. , Singh, K. & Maret, P. 2019. QAnswer: a question answering prototype bridging the gap between a considerable part of the LOD cloud and end-users. In The World Wide Web Conference, 3507–3510.

2. Pradel, C. , Peyet, G. , Haemmerlé, O. & Hernandez, N. 2013. Swip at qald-3: results, criticisms and lesson learned. In Working Notes for CLEF 2013 Conference.

3. Ruseti, S. , Mirea, A. , Rebedea, T. & Trausan-Matu, S. 2015. QAnswer-enhanced entity matching for question answering over linked data. In CLEF (Working Notes), 28–35.

4. Towards a question answering system over the Semantic Web

5. Aggarwal, N. & Buitelaar, P. 2012. A system description of natural language query over dbpedia. In Proceedings of Interacting with Linked Data (ILD 2012), workshop co-located with the 9th Extended Semantic Web Conference, Unger, C. , Cimiano, P. , Lopez, V. , Motta, E. , Buitelaar, P. & Cyganiak, R. (eds). May 28, 2012, Heraklion, Greece, 97–100.

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