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## What Is gStore
gStore is a graph-based RDF data management system(or what is commonly called a "triple store") that maintains the graph structure of the original [RDF](http://www.w3.org/TR/rdf11-concepts/) data. Its data model is a labeled, directed multi edge graph, where each vertex corresponds to a subject or an object.
gStore is a graph-based RDF data management system(or what is commonly called a "triple store") that maintains the graph structure of the original [RDF](http://www.w3.org/TR/rdf11-concepts/) data.
We represent a given [SPARQL](http://www.w3.org/TR/sparql11-overview/) query by a query graph Q. Query processing involves finding subgraph matches of Q over the RDF graph G, instead of joining tables in relational data management system. gStore incorporates an index over the RDF graph (called VS-tree) to speed up query processing. VS-tree is a height balanced tree with a number of associated pruning techniques to speed up subgraph matching.
We represent a given [SPARQL](http://www.w3.org/TR/sparql11-overview/) query by a query graph Q. The query process involves finding subgraph matches of Q over the RDF graph G, instead of joining tables in relational data management system. gStore incorporates an VS-tree index over the RDF graph (called VS-tree) to speed up the query process, which is a height balanced tree with a number of associated pruning techniques to speed up subgraph matching.
(NOTICE: Homomorphism is used here, instead of isomorphism)
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- gStore manages RDF repository from a graph database perspective.
- gStore supports both query and update efficiently.
- gStore supports both efficient query and update.
- gStore can handle, in a uniform manner, different data types (strings and numerical data) and SPARQL queries with wild cards, aggregate, range operators(only theoretically, not achieved so far)
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## Why gStore
After a series of test, we analyse and keep the result in [Test Results](TEST.md). gStore runs faster to answer complicated queries(for example, contain circles) than other database systems. For simple queries, both gStore and other database systems work well.
After a series of test, we analyse and keep the result in [Test Results](TEST.md). gStore runs faster to answer complicated queries(for example, contain circles) than other database systems. For simple queries, it also works well like other graph database systems.
In addition, now is the big data era and more and more structured data is coming, while the original relational database systems(or database systems based on relational tables) cannot deal with them efficiently. In contrast, gStore can utilize the features of data structures, and improve the performance.
More and more structured data is coming, but the original relational database systems(or database systems based on relational tables) cannot deal with them efficiently. In contrast, gStore can utilize the features of different data structures, and improve performance.
What is more, gStore is a high-extensible project. Many new ideas of graph database have be proposed, and most of them can be used in gStore. For example, some members of our group are designing a distributed gstore system.
What is more, gStore is a highly extensible project. Many new ideas of graph database have be proposed, and most of them can be used in gStore. Some members of our group are designing a distributed gstore system currently.
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## Open Source
The gStore source code is available as open-source code under the BSD license. You are welcome to use gStore, report bugs or suggestions, or join us to make gStore better. It is also ok for you to build all kinds of applications based on gStore, while respecting our work.
The gStore source code is available as open-source code under the BSD license. You are welcome to use gStore, report bugs or suggestions, or join us to make gStore better. It is also ok for you to build all kinds of applications based on gStore, while agreeing to the terms of use.