CASIA@QALD-3: A Question Answering System over Linked Data
Shizhu He, Shulin Liu, Yubo Chen, Guangyou Zhou, Kang Liu, Jun Zhao · 2013
cn Abstract. We present a question answering system (CASIA) over Linked Data (DBpedia), which focuses on construct a bridge between the users and the Linked Data. Based on the Linked Data consisting of subject-property-object (SPO) triples, each natural language question firstly is transformed into a triple-based represen-tation (Query Triple). Then, the corresponding resources in DBpedia, including class, entity, property, are mapped for the phrases in the query triples. Finally, the optimal SPARQL query is generated as the output result. Our system can not only deal with the single-relation questions but the complex questions containing multi-relations. We evaluate our approach on QALD-3 test dataset and achieve an F-measure score of 0.36, an average precision of 0.35 and an average recall of 0.36 over 99 questions.