Demo

Demo

gStore: Knowledge Graph Database System

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 labeled, 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.

 

The official website can provide a basic introduction of the product, download of the stand-alone version of gStore, download of gStore Workbench, related documents, open source code, and application cases. In addition, in the community function, you can communicate with other users and administrators in time and deal with problems in a timely manner.

 

(1) Easy to use

The gStore cloud system provides functions such as graph database construction, graph database query, API calls, help documents, and community questions. Registered users who have reviewed, as long as they load the sample data set or build the graph database themselves, can quickly get effective results feedback through the corresponding query statements, eliminating the need for users to install a graph database, configuration graph database and other cumbersome processes. Not only that, gStore and China Science and Technology Cloud are deeply integrated. All users who have registered in China Science and Technology Cloud do not need to register, and they can use the technology cloud pass to log in to the gStore cloud system for operation.

(2) Easy operation, friendly interface

The gStore cloud system is intuitive and simple, and users can achieve the required functions with simple operations. If users encounter any problems or doubts during the operation, they can effectively solve the problem by querying examples, help documents, and communication communities. Not only that, the gStore cloud system also provides rich content links, interested users can further browse or query gStore related research and team introduction.

(3) Support complex SPARQL query and effective addition, deletion and modification operations.

The gStore cloud system supports the SPARQL standard query language defined by W3C, including the addition, deletion, modification and inspection operations including Union, OPTIONAL, FILTER and aggregate functions, which can meet the complex requirements of users' graph database operations. In addition, the gStore cloud system provides a visual display of query results and a JSON representation of the returned data to improve the user experience.

gStoreWorkBench provides database administrators, program developers, and system planners with visual SQL development, database modeling, and database management functions.

 

The gStore CSTcloud system has the same functions as the gStore cloud platform.

 

  • gStore Endpoint

Basic Endpoint：

http://dbpedia0.gstore-pku.com/

http://openkg.gstore-pku.com/

Smart Endpoint：

http://dbpedia.gstore-pku.com/

http://freebase.gstore-pku.com/

http://pkubase.gstore-pku.com/

 

  • Related Papers

  1. Lei Zou, M. Tamer Özsu, Lei Chen, Xuchuan Shen, Ruizhe Huang, Dongyan Zhao, gStore: A Graph-based SPARQL Query Engine, VLDB Journal , 23(4): 565-590, 2014.
  2. Lei Zou, Jinghui Mo, Lei Chen,M. Tamer Özsu, Dongyan Zhao, gStore: Answering SPARQL Queries Via Subgraph Matching, Proc. VLDB 4(8): 482-493, 2011.
  3. Lei Zou, M. Tamer Özsu: Graph-Based RDF Data Management. Data Science and Engineering 2(1): 56-70 (2017).
  4. Xuchuan Shen, Lei Zou, M. Tamer Özsu, Lei Chen, Youhuan Li, Shuo Han, Dongyan Zhao, A Graph-based RDF Triple Store, in Proc. 31st International Conference on Data Engineering (ICDE), 2015; (demo).
  5. Dong Wang, Lei Zou, Yansong Feng, Xuchuan Shen, Jilei Tian, and Dongyan Zhao, S-store: An Engine for Large RDF Graph Integrating Spatial Information, in Proc. 18th International Conference on Database Systems for Advanced Applications (DASFAA), pages 31-47, 2013.
  6. Dong Wang, Lei Zou and Dongyan Zhao, gst-Store: An Engine for Large RDF Graph Integrating Spatiotemporal Information, in Proc. 17th International Conference on Extending Database Technology (EDBT), pages 652-655, 2014 (demo).
  7. Peng Peng, Lei Zou, M. Tamer Özsu, Lei Chen, Dongyan Zhao, Processing SPARQL queries over distributed RDF graphs. VLDB Journal (2016) (accepted, to appear) , VLDB Journal.
  8. Peng Peng, Lei Zou, Lei Chen, Dongyan Zhao, Query Workload-based RDF Graph Fragmentation and Allocation. EDBT (2016) (accepted, to appear) , EDBT.
  9. Lei Zou, Yueguo Chen, A Survey of Large-Scale RDF Data Management, Comunications of CCCF Vol.8(11): 32-43, 2012 (Invited Paper, in Chinese).

 

 
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