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Authors: Davide Varagnolo 1 ; 2 ; Dora Melo 3 ; 2 and Irene Rodrigues 1 ; 2

Affiliations: 1 Department of Informatics, University of Évora, Évora, Portugal ; 2 NOVA Laboratory for Computer Science and Informatics, NOVA LINCS, Caparica, Portugal ; 3 Polytechnic of Coimbra, Coimbra Business School - ISCAC, Coimbra, Portugal

Keyword(s): Natural Language Processing, Knowledge Representation, Knowledge Discovery, Semantic Web, Archives Linked Data Semantic Representation.

Abstract: In this paper an Ontology-based Question-Answering system for exploring the information on CIDOC-CRM ontology representing the Portuguese Archives metadata text descriptions is presented. The proposed approach transforms the natural language input question into a SPARQL query over the target knowledge base, the Portuguese Archives CIDO-CRM Population. To interpret the userś natural language questions, a pipeline with a natural language grammar, Stanza, a Discourse Representation Structure builder and the final question interpretation on a Query ontology is used. After obtaining the best representation of the user question on the Query ontology, the query constraints classes and properties are translated to CIDOC-CRM ontology and a SPARQL query is generated. The matching of the questions DRS on the query ontology is done as a constraint satisfaction problem and the choice of the best interpretation (matching) is obtained by solving a multi-objective optimizer.

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Paper citation in several formats:
Varagnolo, D.; Melo, D. and Rodrigues, I. (2023). An Ontology-Based Question-Answering, from Natural Language to SPARQL Query. In Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD; ISBN 978-989-758-671-2; ISSN 2184-3228, SciTePress, pages 174-181. DOI: 10.5220/0012180000003598

@conference{keod23,
author={Davide Varagnolo. and Dora Melo. and Irene Rodrigues.},
title={An Ontology-Based Question-Answering, from Natural Language to SPARQL Query},
booktitle={Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD},
year={2023},
pages={174-181},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012180000003598},
isbn={978-989-758-671-2},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD
TI - An Ontology-Based Question-Answering, from Natural Language to SPARQL Query
SN - 978-989-758-671-2
IS - 2184-3228
AU - Varagnolo, D.
AU - Melo, D.
AU - Rodrigues, I.
PY - 2023
SP - 174
EP - 181
DO - 10.5220/0012180000003598
PB - SciTePress

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