KGVQL: A knowledge graph visual query language with bidirectional transformations
作者：
Highlights：
• We propose a knowledge graph interactive visual query language, called KGVQL, which support multiple operators (e.g. UNION, OPT, FILTER, and LIMIT), and is independent of a specific knowledge graph query language.
• To the best of our knowledge, KGVQL is the first work that implements flexible bidirectional transformations between query graphs and query results, which can provide intermediate results and trajectory of query results when users exploring knowledge graphs to effectively guide end-users to construct query graphs step by step.
• We develop an interactive visual query interface based on KGVQL, and empirically demonstrate its usefulness in helping end-users query and understand knowledge graphs in both speed and accuracy.
摘要
•We propose a knowledge graph interactive visual query language, called KGVQL, which support multiple operators (e.g. UNION, OPT, FILTER, and LIMIT), and is independent of a specific knowledge graph query language.•To the best of our knowledge, KGVQL is the first work that implements flexible bidirectional transformations between query graphs and query results, which can provide intermediate results and trajectory of query results when users exploring knowledge graphs to effectively guide end-users to construct query graphs step by step.•We develop an interactive visual query interface based on KGVQL, and empirically demonstrate its usefulness in helping end-users query and understand knowledge graphs in both speed and accuracy.
论文关键词：Knowledge graphs,Visual query language,Bidirectional transformation,Query graph pattern
论文评审过程：Received 29 August 2021, Revised 17 April 2022, Accepted 18 April 2022, Available online 27 April 2022, Version of Record 9 June 2022.
论文官网地址：https://doi.org/10.1016/j.knosys.2022.108870
