CUTE : Querying Knowledge Graphs by Tabular Examples

Knowledge graphs and the query language SPARQL have opened up the possibility of retrieving information, acquiring knowledge and building applications over large linked data. However, due to the unfamiliarity with both SPARQL and the datasets, users always struggle to write well-expressed queries. To increase the usability of knowledge graphs, we develop a query-by-example system CUTE, which supports complex query intent. CUTE takes tabular examples as input, and returns high-quality results via continuous user interaction.