ApacheCon EU 2014

This is the story of building a clustered SPARQL database. Demand on
triplestores is growing, both in terms of scale and reliable operation.
Replication and clustering are needed for fault tolerant operation and for
larger datasets. Server replication of a single machine database only get so far.
It is easier to have a system designed to harness the capabilities of
several machines in one system. The goal of ""Lizard"" is to provide a solid
platform for triplestore operation.

In this presentation, Andy will describe how ""Lizard"" takes the Apache Jena
TDB database design and extends it to cluster operation. The talk will
cover the core principles of the TDB design and SPARQL execution, the
choices to be made in the ""Lizard"" design that rework the system for a
medium scale cluster system, and report of the current status.

The integration of multimedia assets on the web with structured (linked) data promises further opportunities for digital market places regarding findability and recommendations. The new W3C standards for Media Annotation, Media Fragment UIRs and Linked Data Platforms build a stable base for this purpose. Thomas Kurz shows how to use the Linked Data Platform Apache Marmotta in combination with the Red5 Media Server as a backend for the storage and retrieval of Linked Media. In his talk he is going to show extensions for a seamless integration of media streaming for Non-RDF resources and spatio-regional media fragment retrieval with SPARQL.

Open Annotation is an W3C working draft that uses RDF to (formally) describe - annotate - associations between related resources. In this presentation Rupert Westenthaler will show how Apache Stanbol can be configured to use an Annotation Model compatible to this recommendation; This presentation will first provide an overview on Open Annotation and present strengths and weaknesses of it when used for the Stanbol Enhancer. The second section will present the Open Annotation compatible annotation model for the Stanbol Enhancer. and how this model is generated based on the currently used one. The final section will show how to configure Stanbol to use the new model and conclude with a demonstration.

The Hadoop ecosystem is excellent in providing a large variety of data processing paradigms and supports a wide variety of data formats. However support for RDF within this ecosystem is often non-existent or confined to academic research which has yet to make the jump to production ready systems. In this talk I will present several projects I've been involved in both inside and outside the ASF which are looking at bringing production ready RDF support to the Hadoop ecosystem.

In the Java world there is an historical incompatibility issue between the two major RDF toolkits: Apache Jena and OpenRDF Sesame. But behind this effort there is a completely different approach than before. This library does not pretend to be a generic API wrapping those libraries, but a set of interfaces for the RDF 1.1 concepts that can be used to expose cores concepts using common Java interfaces. In the initial phase commons-rdf is focused on a subset of the core concepts defined by RDF 1.1 (URI/IRI, Blank Node, Literal, Triple, and Graph). In particular, Commons RDF aims to provide a type-safe, non-general API that covers RDF 1.1. In a future phase we may define interfaces for Datasets or Quads.

Counts in core contributors from both Jena and Sesame, But it will live or die on its own merits!

The working repository can be found at http://github.com/wikier/commons-rdf