CliqueSquare Files

Distributed RDF Processing over Hadoop

Status: Alpha

Brought to you by: b-d-h, zabetak

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size	InfoDownloads / Week
cliquesquare-0.3.tar.gz	2015-10-06	71.9 MB	0
CliqueSquare_0.2.1.tar.gz	2015-07-06	15.9 MB	0
CliqueSquare_0.2.tar.gz	2015-01-22	15.9 MB	1
Totals: 3 Items		103.7 MB	1

Other Useful Business Software

Ship Agents Faster

Transform your applications and workflows into powerful agentic systems at global scale.

Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.

Get Started Free

Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.

Try Free

Ship Agents Faster

Transform your applications and workflows into powerful agentic systems at global scale.

Get Started Free

Recommended Projects

Sesame
Java RDF Framework
Java RDF Binding
A project designed to create a standard mapping of RDF to Java.
data.table
Extends base R’s data for high-performance data manipulation
dotNetRDF
dotNetRDF is a .Net Class Library for working with RDF and SPARQL programatically built with C# 3 for the .Net Framework 3.5/4.0/Silverlight 4 and WIndows Phone 7. It provides a simple object model for representing RDF, SPARQL Queries and Updates and understands all common RDF and SPARQL syntaxes. Extensive documentation is available on the website and support is available via the mailing lists.
xsparql
One of the requirements of current Semantic Web applications is to deal with heterogenous data. Data represented and stored using the Extensible Markup Language (XML) is almost ubiquitous and is the standard for data exchange. Resource Description Framework (RDF) is the W3C recommended standard for data representation. Being able to work with these two languages using a common framework is a great advantage and eliminates several unnecessary steps that are currently used when handling both formats.

CliqueSquare Files

Distributed RDF Processing over Hadoop

Get an email when there's a new version of CliqueSquare