A General-purpose Visual Query Language for Knowledge Graphs with Bidirectional Transformations.
Qiang Fu, Xin Wang, Yuan-Fang Li · Monash University Research Portal (Monash University) · 2020
In this paper, we present a general-purpose interactive visual query language, GPVQL, to improve the efficiency of end-users' under- standing and querying of knowledge graphs. Furthermore, GPVQL real- izes the novel capability of flexible bidirectional transformations between query patterns and graph results, therefore significantly assists end-users in formulating queries over large and unfamiliar knowledge graphs in an incremental way. We present the syntax and semantics of GPVQL, dis- cuss our design rationale behind this interactive visual query language, and evaluate the effectiveness of a visual query system based on GPVQL against a number of textual and visual query environments over a large knowledge graph, DBpedia. Our evaluation demonstrates the GPVQL's superiority in effectiveness and accurateness.