Data-driven construction of SPARQL queries by approximate question graph alignment in question answering over knowledge graphs
作者：
Highlights：
• Extracting the query graph patterns directly from the knowledge graph is proposed.
• Pairwise graph alignment-based method verifies the interpretations of a question.
• Relying on the intermediate semantic items is reduced to as least as possible.
• The lexical and structural approximation causes flexibility in finding matches.
• Results show a significant increase in the number of questions answered correctly.
摘要
•Extracting the query graph patterns directly from the knowledge graph is proposed.•Pairwise graph alignment-based method verifies the interpretations of a question.•Relying on the intermediate semantic items is reduced to as least as possible.•The lexical and structural approximation causes flexibility in finding matches.•Results show a significant increase in the number of questions answered correctly.
论文关键词：Knowledge graph,Answering natural language questions,Disambiguation of interpretations,Pairwise graph alignment
论文评审过程：Received 20 September 2019, Revised 24 December 2019, Accepted 13 January 2020, Available online 15 January 2020, Version of Record 23 January 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113205
