This is a wrapper around a SPARQL service. It helps in creating the query URI and, possibly, convert the result into a more manageable format.

Summary: As more data is being stored in RDF formats like RSS, a need has arisen for a simple way to locate specific information. SPARQL, a powerful new query language fills that space, making it easy to find the data you need in the RDF haystack. Take a tour of SPARQL's features and learn how to use SPARQL queries from your own Java™ applications with the Jena Semantic Web Toolkit.

Tracker is a tool designed to extract information and metadata about your personal data so that it can be searched easily and quickly.

One result of making data available is that it enables you and others to easily construct nice visualisations over the data, and maybe spot useful patterns within it.

using a SPARQL query as a Data Source for a Google Visualisation of the MP’s expenses data.

Fyzz parses the SPARQL query and generates something we decided to call an AST although it's still a bit rough for now. Fyzz understands simple triples, distincts, limits, offsets and other basic functionalities.

fyzz is a sparkling Python parser for the Sparql query language

By providing open access to increasing amounts of Linked Data, public SPARQL endpoints are boosting the growth of the Semantic Web by providing great data for you to use in your applications. As with many other data-driven Web sites out there, a Web page can be created by sending a query to these endpoints and then wrapping the results in HTML tags; the big difference for SPARQL endpoints is the public availability of this new data for your applications. This article shows how simple CGI scripting can get data from two different SPARQL endpoints to build applications that answer your user's questions about actors shared between two directors and which musicians have released which albums.

Leigh Dodds, Platform Programme Manager, gives the following screencast to demonstrate using the Talis Platform to use rich RDF features on the BBC’s /programmes and /music sites.

how RDFa can be used to support this "Repurpose-Republish" loop.

The SPARQL Tree tools digest SPARQL results for your convenience.

A "SPARQL tree" is a processed SPARQL query result which combines bound variables into trees of data. It processes regular results from queries using variables named according to a specific convention (designating "tree structure").

There is also (alpha) support for a custom mixed "SPARQL-in-XML" query format (mentioned furher down).

It is a bit embarassing when I teach SPARQL to someone with a background in SQL. Once they figure out how it works, they start to appreciate it as a powerful language for representing just what information you want from a graph. Then they start asking about some of the commonly used query operations from SQL - things like aggregators and grouping operations like COUNT, SUM, MAX, MIN and AVG.

George Thomas was kind enough to post his slides describing the architecture of the recovery.org web site. The site is built using Drupal, and relies on REST, Atom, XForms, XHTML, RDFa, and SPARQL.

The combination of social networking with public messaging, link posting, and subscriptions leads to impressive synergy effects, but there is also the drawback of information overload, information loss, distraction, and content redundancy.

An implementation of the SPARQL protocol, exploring issues of robustness and scalability. Currently based on the Jena SDB/TDB libraries.

KML mapping: people's geolocation on a map