VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines

IF 2.6 3区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Proceedings of the Vldb Endowment Pub Date : 2023-08-01 DOI:10.14778/3611540.3611608

Kai Huang, Houdong Liang, Chongchong Yao, Xi Zhao, Yue Cui, Yao Tian, Ruiyuan Zhang, Xiaofang Zhou

引用次数: 0

Abstract

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.

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VisualNeo:弥合可视化查询接口和图查询引擎之间的差距

可视化图形查询接口(VQIs)通过直观地构造可视化查询，使非程序员能够查询图形数据。在图形查询引擎(GQEs)中设计用于交互式搜索和探索的高效技术也已经研究了多年。然而，这两个充满活力的科学领域在传统上是相互独立的，这给希望探索图查询的全栈操作的用户造成了巨大的障碍。在这个演示中，我们提出了一个新的基于Neo4j的VQI系统，称为VisualNeo，它在大型图形数据库中提供了高效的子图查询。VisualNeo继承了最近高级vqi的几个高级特性，其中包括数据驱动的gui设计和罐装模式生成。此外，它还包含一个数据库管理器模块，以便用户可以连接到通用的Neo4j数据库。它通过Neo4j驱动程序执行查询处理，并提供美观的查询结果探索。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Proceedings of the Vldb Endowment Computer Science-General Computer Science

CiteScore

7.70

自引率

0.00%

发文量

期刊介绍： The Proceedings of the VLDB (PVLDB) welcomes original research papers on a broad range of research topics related to all aspects of data management, where systems issues play a significant role, such as data management system technology and information management infrastructures, including their very large scale of experimentation, novel architectures, and demanding applications as well as their underpinning theory. The scope of a submission for PVLDB is also described by the subject areas given below. Moreover, the scope of PVLDB is restricted to scientific areas that are covered by the combined expertise on the submission’s topic of the journal’s editorial board. Finally, the submission’s contributions should build on work already published in data management outlets, e.g., PVLDB, VLDBJ, ACM SIGMOD, IEEE ICDE, EDBT, ACM TODS, IEEE TKDE, and go beyond a syntactic citation.