The aim of AutoSPARQL is to provide robust question answering over RDF data by combining methods from several research areas, such as:
- natural language processing for creating sophisticated semantic representations of questions
- inductive active learning for incorporating user feedback
- results of the BOA project
The underlying idea is to convert a natural language expression to a SPARQL query, which can then retrieve the answer of a question from a given triple store.