AURORA: Data-driven Construction of Visual Graph Query Interfaces for Graph Databases

Sourav S. Bhowmick, Kai Huang, Huey Eng Chua, Zifeng Yuan, Koon Kau CHOI, Shuigeng Zhou

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

Abstract

Several commercial and academic frameworks for querying a large collection of small- or medium-sized data graphs (eg. chemical compounds) provide visual graph query interfaces (a.k.a GUI) to facilitate non-programmers to query these sources. However, construction of these visual interfaces is not data-driven. That is, it does not exploit the underlying data graphs to automatically generate the contents of various panels in a GUI. Such data-driven construction has several benefits such as facilitating efficient subgraph query formulation and portability of the interface across different application domains and sources. In this demonstration, we present a novel data-driven visual subgraph query interface construction engine called AURORA. Specifically, given a graph repository D containing a collection of small- or medium-sized data graphs, it automatically generates the GUI for D by populating various components of the interface. We demonstrate various innovative features of AURORA.

Original languageEnglish
Title of host publicationSIGMOD 2020 - Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data
PublisherAssociation for Computing Machinery
Pages2689-2692
Number of pages4
ISBN (Electronic)9781450367356
DOIs
Publication statusPublished - 14 Jun 2020
Event2020 ACM SIGMOD International Conference on Management of Data, SIGMOD 2020 - Portland, United States
Duration: 14 Jun 202019 Jun 2020

Publication series

NameProceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)0730-8078

Conference

Conference2020 ACM SIGMOD International Conference on Management of Data, SIGMOD 2020
Country/TerritoryUnited States
CityPortland
Period14/06/2019/06/20

Scopus Subject Areas

  • Software
  • Information Systems

User-Defined Keywords

  • data-driven construction
  • graph databases
  • portability
  • usability
  • visual graph query interface

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