Description of the POMELO System for the Task 2 of QALD-2014.
Thierry Hamon, Natalia Grabar, Fleur Mougin, Frantz Thiessard · CLEF (Working Notes) · 2014
In this paper, we present the POMELO system developed for participating in the task 2 of the QALD-4 challenge. For translating natural language questions in SPARQL queries we exploit Natural Language Processing methods, semantic resources and RDF triples description. We designed a four-step method which pre-processes the question, performs an abstraction of the question, then builds a representation of the SPARQL query and finally generates the query. The system was ranked second out of three participating systems. It achieves good performance with 0.85 F-measure on the set of 25 test questions.