SPARQL Query Generation based on RDF Graph
Mohamed Kharrat, Anis Jedidi, Faı̈ez Gargouri · 2016
Data retrieval is becoming more difficult due to the heterogeneity and the huge amount of Data flowing in the Web. On the other hand, novice users could not handle querying languages (e.g., SPARQL) or knowledge based techniques. To simplify querying process, we introduce in this paper, a proposal of automatic SPARQL query generation based on user-supplied keywords. The construction of a SPARQL query is based on the top relevant RDF sub-graph, selected from our RDF Triplestore. This latter rely on our defined semantic network and on our Contextual Schema both published in two different papers of our previous studies. We evaluate 50 queries by using three measures. Results show an F-Score of about 50%. This proposal is already implemented as a web interface and the whole queries interpretation and processing is performed over this interface.