Ontologybased Question Answering Systems over Knowledge Bases: A Survey.

Franco, Wellington; Avila, Caio Viktor Artur Oliveira S.; Maia, Gilvan; Brayner, Ângelo; Vidal, Vânia Maria P.; Carvalho, Fernando; Pequeno, Valéria M.

http://hdl.handle.net/10400.26/57841

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Authors

Franco, Wellington

Avila, Caio Viktor Artur Oliveira S.

Maia, Gilvan

Brayner, Ângelo

Vidal, Vânia Maria P.

Carvalho, Fernando

Pequeno, Valéria M.

Abstract(s)

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.

Keywords

Question Answering Systems Ontology Knowledge bases Literature survey

URI

http://hdl.handle.net/10400.26/57841

Citation

Wellington Franco, Caio Viktor S. Avila, Artur Oliveira, Gilvan Maia, Angelo Brayner, Vânia Maria P. Vidal, Fernando Carvalho, Valéria Magalhães Pequeno: Ontology-based Question Answering Systems over Knowledge Bases: A Survey. ICEIS (1) 2020: 532-539