Authors:
Davide Varagnolo
1
;
2
;
Dora Melo
2
;
3
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 University of Coimbra, Coimbra Business School—ISCAC, Coimbra, Portugal
Keyword(s):
Natural Language Processing, Question Answering, Knowledge Representation, Knowledge Discovery, Semantic Web, SPARQL Queries, Ontology.
Abstract:
This paper presents a methodology that allows a natural language question to be interpreted using an ontology called Query Ontology. From this representation, using a set of mapping description rules, a SPARQL query is generated to query a target knowledge base. In the experiment presented, the Query Ontology and the set of mapping description rules are designed over DBpedia as target knowledge base. The methodology is tested using QALD-9, a dataset of natural language queries widely used to test question-answering systems on DBpedia.