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Pure Go library for working with RDF, a powerful framework for representing informations as graphs.
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Callidon/joseki
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Joseki is a pure Go library for working with RDF, a powerful framework for representing informations as graphs.
For more informations about RDF itself, please seehttps://www.w3.org/TR/rdf11-concepts
Joseki provides the following features to work with RDF :
- Structures to represent and manipulate the RDF model (URIs, Literals, Blank Nodes, Triples, etc)
- RDF Graphs to store data, with several implentations provided.
- A Low level API to query data stored in graphs.
- A High level API to query data using theSPARQL 1.1 query language. (WIP - Unstable)
- Query processing using modern techniques such as join ordering or optimized query execution plans.
- Load RDF data stored in files in various formats (N-Triples, Turtle, etc) into any graph.
This package aims to work with RDF graphs, which are composed of RDF Triple {Subject Object Predicate}.Using joseki, you can represent an RDF Triple as followed :
import ("github.com/Callidon/joseki/rdf""fmt")subject:=rdf.NewURI("http://example.org/book/book1")predicate:=rdf.NewURI("http://purl.org/dc/terms/title")object:=rdf.NewLiteral("Harry Potter and the Order of the Phoenix")triple:=rdf.NewTriple(subject,predicate,object)fmt.Println(triple)// Output : {<http://example.org/book/book1> <http://purl.org/dc/terms/title> "Harry Potter and the Order of the Phoenix"}
You can also store your RDF Triples in a RDF Graph, using various type of graphs.Here, we use a Tree Graph to store our triple :
import ("github.com/Callidon/joseki/rdf""github.com/Callidon/joseki/graph")subject:=rdf.NewURI("http://example.org/book/book1")predicate:=rdf.NewURI("http://purl.org/dc/terms/title")object:=rdf.NewLiteral("Harry Potter and the Order of the Phoenix")graph:=graph.NewTreeGraph()graph.Add(rdf.NewTriple(subject,predicate,object))
You can also query any triple from a RDF Graph, using a low level API or a SPARQL query.
import ("github.com/Callidon/joseki/rdf""github.com/Callidon/joseki/graph""fmt")graph:=graph.NewTreeGraph()// Datas stored in a file can be easily loaded into a graphgraph.LoadFromFile("datas/awesome-books.ttl","turtle")// Let's fetch the titles of all the books in our graph !subject:=rdf.NewVariable("title")predicate:=rdf.NewURI("http://www.w3.org/1999/02/22-rdf-syntax-ns#type")object:=rdf.NewURI("https://schema.org/Book")forbindings:=rangegraph.Filter(subject,predicate,object) {fmt.Println(bindings)}
For more informations about specific features, see thedocumentation