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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 in-tention 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 im-prove 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 re-sults are outstanding in the field of unsupervised learning.

著录项

  • 来源
    《电子学报(英文版)》 |2017年第2期|230-235|共6页
  • 作者单位

    College of Information Engineering, Capital Normal University, Beijing 100048, China;

    Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China;

    College of Information Engineering, Capital Normal University, Beijing 100048, China;

    College of Information Engineering, Capital Normal University, Beijing 100048, China;

    Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China;

    Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China;

    College of Information Engineering, Capital Normal University, Beijing 100048, China;

    Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China;

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  • 正文语种 eng
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