Ontology-based Question Answering Systems over Knowledge Bases: A Survey

Wellington Franco, Caio Viktor, Artur Oliveira, Gilvan Maia, Angelo Brayner, V. Vidal, Fernando Carvalho, V. Pequeno

Abstract

Searching relevant, specific information in big data volumes is quite a challenging task. Despite the numerous strategies in the literature to tackle this problem, this task is usually carried out by resorting to a Question Answering (QA) systems. There are many ways to build a QA system, such as heuristic approaches, machine learning, and ontologies. Recent research focused their efforts on ontology-based methods since the resulting QA systems can benefit from knowledge modeling. In this paper, we present a systematic literature survey on ontology-based QA systems regarding any questions. We also detail the evaluation process carried out in these systems and discuss how each approach differs from the others in terms of the challenges faced and strategies employed. Finally, we present the most prominent research issues still open in the field.

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Paper Citation


in Harvard Style

Franco W., Viktor C., Oliveira A., Maia G., Brayner A., Vidal V., Carvalho F. and Pequeno V. (2020). Ontology-based Question Answering Systems over Knowledge Bases: A Survey.In Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-423-7, pages 532-539. DOI: 10.5220/0009392205320539


in Bibtex Style

@conference{iceis20,
author={Wellington Franco and Caio Viktor and Artur Oliveira and Gilvan Maia and Angelo Brayner and V. Vidal and Fernando Carvalho and V. Pequeno},
title={Ontology-based Question Answering Systems over Knowledge Bases: A Survey},
booktitle={Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2020},
pages={532-539},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009392205320539},
isbn={978-989-758-423-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Ontology-based Question Answering Systems over Knowledge Bases: A Survey
SN - 978-989-758-423-7
AU - Franco W.
AU - Viktor C.
AU - Oliveira A.
AU - Maia G.
AU - Brayner A.
AU - Vidal V.
AU - Carvalho F.
AU - Pequeno V.
PY - 2020
SP - 532
EP - 539
DO - 10.5220/0009392205320539