gStore

Graph Database System

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What is gStore?

an Open Source Database System for RDF Knowledge Graphs

gStore is an open source database system (usually called Triple Store) for RDF knowledge graphs, developed by the Data Management Lab of Institute of Computer and Science, Peking University.

Different from the traditional relational database-based knowledge graph data management, gStore is a native RDF data management system based on the Native Graph Model, which maintains the graph structure of the original RDF knowledge graph; its data model is a labeled and directed multilateral graph, with each vertex corresponding to a subject or object. We transform the SPARQL query for RDF into a subgraph matching query for RDF graphs, and use our proposed graph structure based index (VS-tree) to accelerate the performance of the query.

Storing and Retrieving RDF Knowledge Graph Data from a Graph Database Perspective

gStore stores and retrieves RDF knowledge graph data from a graph database perspective.

Supporting Complicated SPARQL Queries and Effective Insert, Delete and Update Operations

gStore supports the SPARQL 1.1 standard defined by W3C, including queries containing Union, OPTIONAL, FILTER and aggregate functions; gStore supports effective insert, delete and update operations.

gStore(stand-alone) can support the data management task of massive triple-scale RDF knowledge graph.

gStore(stand-alone) can support the data management task of the 5 Billion triple-scale RDF knowledge graph.

Applications

Supported by gStore

World Data Center for Microorganisms(WDCM)

A query system for worldwide microorganism researchers.

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Founder Zhihui

A system for the unified management of various publishing resources for the publishing industry.

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Endpoint

Including DBpedia, openKG, freebase

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World Data Center for Microorganisms(WDCM)

A query system for worldwide microorganism researchers.

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gStore Memorabilia

  • Year 2018

    • May The paper "Multi-Query Optimization in Federated RDF Systems", received BEST PAPER AWARD of 23rd International Conferenceon Database Systems for Advanced Applications (DASFAA).
    • February "Large-scale graph data management", received the second prize of the Natural Science of the Ministry of Education of China.

  • Year 2017

    gStore was released on github

  • Year 2014

    • gAnswer related academic papers were published. Lei Zou, Ruizhe Huang, Haixun Wang, Jeffery Xu Yu, Wenqiang He, Dongyan Zhao, Natural Language Question Answering over RDF ---- A Graph Data Driven Approach, SIGMOD 2014.
    • Octobor "Theoretical Study on Storage and Query Optimization of Massive Graph Data", received the second prize of the Natural Science of China Computer Federation.
    • June We obtained the Computer software copyright registration certificate of gStore.

  • Year 2013

    December The first version of gStore was developed.

  • Year 2011

    gStore related academic papers were published. Lei Zou., et al: gStore: Answering SPARQL Queries via Subgraph Matching. PVLDB 4(8): 482-493 (2011).

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Note: All of the above statistics began on June 9, 2019.