Interactive query for OWL-oriented QA system
Mingxia Gao, Furong Chen · 2013
This paper proposed an interactive query mode for an OWL-oriented question-answering system, named Agile, to refine answers. The key problem for interactive query modes in QAs is producing natural language subquestions. This paper used a two-phases semantic mapping method to produce sub-questions. The first phase builds RDF triples based on existing OWL knowledge and given original questions. The second phase maps RDF triples into natural language sub-questions through some lingual common sense and pre-defined rules. To validate effect of interactive queries, we have conducted some experiments involving two different domain of knowledge bases and accepted some promising results.