Linked Open Data Query Based on Natural Language

作     者：LIU Jie LI Wei LUO Liming ZHOU Jianshe HAN Xu SHI Jinsheng 

作者机构：College of Information EngineeringCapital Normal University Beijing Advanced Innovation Center for Imaging TechnologyCapital Normal University 

出 版 物：《Chinese Journal of Electronics》 (电子学报(英文))

年 卷 期：2017年第26卷第2期

页      面：230-235页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 0701[理学-数学] 

基　　金：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) Beijing city Key construction discipline “Computer Application Technology” 

主　　题：SPARQL conversion SPARQL query Query parsing Dependency parsing Linked open data(LOD) 

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 *** a natural language query,a parsing method is proposed to represent the query intention and construct the corresponding query *** 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 *** experiments based on test data from QALD-4 are *** with the other systems,our system is more easy and effective,and evaluation results are outstanding in the field of unsupervised learning.