Programming with RDF

Learning RDF

Quick Intro

RDF in Depth

versus XML, RDBMS

Demos

Validator

Census Data Set

SEC Data

Resources

Programming

Community

Data Sources

Reference

Specifications

Schemas

Programming with RDF

Programming with RDF is made pretty accessible thanks to the growing number of RDF libraries available for many programming languages.

These pages may contain more up-to-date information about the RDF tools available for different programming languages:

Developers Guide to Semantic Web Toolkits lists most of the toolkits available in many languages
Large Triple Stores and Large Quad Stores maintain a list of RDF implementations that can handle 10 million triples and more
SPARQL Implementations

Here are common toolkits for the most common languages taken from the Developers Guide above on Oct. 30, 2005. But the Developers Guide lists many more toolkits, so really you should consult that when looking for the right tool for you.

Language	Library	Features
C	Redland	Storage: Memory, BDB, MySQL, Sqlite; Formats: XML, NT, Turtle, RSS; SPARQL; Language bindings for C#, Java, Obj-C, Perl, PHP, Python, Ruby and Tcl
Java	Jena	Storage: Memory, many databases; Formats: XML, N3; Reasoning; SPARQL
Java	Sesame	Storage: Memory, many databases; Formats: XML, N3; Reasoning
C#/.NET	RdfLib/Carp	Storage: Memory, MySQL; Formats: XML, NT; Reasoning; Ontology Bindings
C#/.NET	SemWeb	Storage: Memory, several databases; Formats: XML, N3; SPARQL; Quads (Disclaimer: I'm the author.)
Perl	PerlRDF (RDF::Core and RDF::Notation3)	Storage: Memory, PostgreSQL; Formats: XML, N3; SPARQL via RDF::Query
PHP	RAP	Storage: Memory, all databases; Formats: XML, N3, GRDDL; Reasoning
Python	RDFLib	Storage: Memory, BDB; Formats: XML, N3; Contexts
Python	Pychinko	Storage: Memory; Formats: XML, N3; Reasoning