This is an announcement of the technical report as well as three different implementations of Semantic Pingback.

Semantic Pingback tackles the quality, timeliness and coherence as well as direct end user benefits of the emerging Linked Data Web. Semantic Pingback extends the well-known Pingback method, which is a technological cornerstone of the blogosphere.

It is based on the advertising of an RPC service for propagating typed RDF links between Data Web resources. It is downwards compatible with conventional Pingback implementations, thus allowing to connect and interlink resources on the Social Web with resources on the Data Web.

We implemented the Semantic Pingback mechanism in three different scenarios:

• A Semantic Pingback server and client plugin for OntoWiki
• A Semantic Pingback server integrated in Triplify, thus supporting the interlinking with relational data on the Data Web.
• A standalone Semantic Pingback server was implemented in PHP, that can be utilized with arbitrary resources that do not provide a Pingback service themselves.

If you do not want to provide a Pingback service on your own, you can use the AKSW Semantic Pingback Service which notifies you via email.

We just released version 0.8 of the Triplify script, which includes the following feature enhancements and fixes:

• Triplify now supports the Semantic Pingback mechanism: It exposes a X-Pingback HTTP header field, it contains a XML-RPC service (also usable by conventional Pingback clients) and it exports Pingback statements along with the instance data.
• Fix: The cache ID is now generated using the server name, port and request URI.
• Fix: We added a 404 Resource not Found error message.
• Fix: We added a config option to disable the use of mod_rewrite (for cases, where the module is available, but not configured).
• Fix: Removed hard-coded MySQL settings to allow e.g. PostgreSQL servers (#2899948)
• Fix: Duplicate triples in some cases (#2833620)
• Fix: 404 when URI with query was requested (e.g. json output, #2631600)

The new features are documented on triplify.org.

Thanks to everybody contributing bug fixes or comments and code (especially Eric Feliksik).

Today, we released a major update of the DL-Learner plugin for Protege 4, the popular ontology editor. The plugin allows you to get suggestions for axioms you may want to add to your OWL ontology by analysing the instance data using the DL-Learner framework. A screencast is available to show you how it works. The plugin is installable via the standard Protégé plugin mechanism (Protege 4 stable release required). This version allows to fine tune the language features you want to use and displays the length of expressions, which have been searched. It also fixes bugs related to inconsistency handling. More information can be found on the plugin wiki page. Enjoy!

AKSW is pleased to announce the first availability of our Adaptive SPARQL Query Cache, a light-weight SPARQL proxy for caching query results and selectively invalidating stored results upon updates. SPARQL-backed applications can be accelerated by simply routing all SPARQL and SPARUL queries through the proxy. In scenarios with recurring query patterns the caching increases responsiveness and overall performance as we validated with an adapted version of the BSBM benchmark. The caching and invalidation was implemented in Java and in PHP and is available together with additional documentation from:

http://aksw.org/Projects/QueryCache

We’ve announced LESS today - an end-to-end approach for the syndication and use of linked data based on the definition of visualization templates for linked data resources and SPARQL query results.

Such syndication templates are edited, published and shared by using LESS’ collaborative Web platform. Templates for common types of entities can then be combined with specific, linked data resources or SPARQL query results and integrated into a wide range of applications, such as personal homepages, blogs/wikis, mobile widgets etc.

LESS and further information and documentation can be found at:

http://less.aksw.org

Particular thanks go to Raphael Doering (Netresearch) who performed most of the development work and to Sebastian Dietzold (AKSW) for contributing in various ways.