首页> 中文期刊> 《中国电子杂志(英文版)》 >Linked Open Data Query Based on Natural Language

Linked Open Data Query Based on Natural Language

         

摘要

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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