Xinbo Zhang's paper (Improving the Precision of RDF Question/Answering Systems— A Why Not Approach) is accepted by WWW 2017 as a poster.

In this paper, we propose a self-learning solution based on the users' feedback over the original query graph. Specifically, our method automatically refines the SPARQL query into a new query graph with minimum modifications. The new query will fix the errors and omissions of the query results. Furthermore, each amendment can also be used to improve the precision in answering subsequent natural language questions.