LIU Jie, LI Wei, LUO Liming, et al., “Linked Open Data Query Based on Natural Language,” Chinese Journal of Electronics, vol. 26, no. 2, pp. 230-235, 2017, doi: 10.1049/cje.2016.11.003
Citation: LIU Jie, LI Wei, LUO Liming, et al., “Linked Open Data Query Based on Natural Language,” Chinese Journal of Electronics, vol. 26, no. 2, pp. 230-235, 2017, doi: 10.1049/cje.2016.11.003

Linked Open Data Query Based on Natural Language

doi: 10.1049/cje.2016.11.003
Funds:  This work is supported by Beijing Advanced Innovation Center for Imaging Technology, the National Natural Science Foundation of China (No.61371194, No.61672361), Beijing Natural Science Foundation (No.4152012), and Beijing city Key construction discipline "Computer Application Technology".
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  • Corresponding author: LUO Liming (corresponding author) was born in 1963. He received M.S. degree in Capital Normal University. His main research interests include Semantic Web, Construction of Software System and Intelligent Education, etc. (Email:luolm@cnu.edu.cn.)
  • Received Date: 2016-03-21
  • Rev Recd Date: 2016-04-20
  • Publish Date: 2017-03-10
  • Linked open data (LOD) supports the SPARQL query strongly. A translation system from the natural language query to the SPARQL query based on the syntax rules is proposed. For a natural language query, a parsing method is proposed to represent the query intention and construct the corresponding query graph. The algorithms for obtaining and instantiating triple patterns are designed based on the rules. A mapping method for different types of graph nodes is lastly proposed to improve the recall. The experiments based on test data from QALD-4 are conducted. Compared with the other systems, our system is more easy and effective, and evaluation results are outstanding in the field of unsupervised learning.
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