VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines
For non-programmers needing to query graph databases, VisualNeo provides a full-stack visual querying solution, though it is an incremental integration of existing technologies.
VisualNeo bridges visual query interfaces and graph query engines, enabling non-programmers to perform efficient subgraph queries on large Neo4j databases. The system integrates data-driven GUI design, canned pattern generation, and a database manager module for seamless query processing and result exploration.
Visual Graph Query Interfaces (VQIs) empower non-programmers to query graph data by constructing visual queries intuitively. Devising efficient technologies in Graph Query Engines (GQEs) for interactive search and exploration has also been studied for years. However, these two vibrant scientific fields are traditionally independent of each other, causing a vast barrier for users who wish to explore the full-stack operations of graph querying. In this demonstration, we propose a novel VQI system built upon Neo4j called VisualNeo that facilities an efficient subgraph query in large graph databases. VisualNeo inherits several advanced features from recent advanced VQIs, which include the data-driven gui design and canned pattern generation. Additionally, it embodies a database manager module in order that users can connect to generic Neo4j databases. It performs query processing through the Neo4j driver and provides an aesthetic query result exploration.