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This project is a handy toolkit for developers and companies that use Maven 2 site generation capabilities in order to generate HTML project presentations. m2-site-tools extends the standard site plugin that comes with Maven 2 with custom macros and page template and offers many exciting features: inserting highlighted code snippets as well as parametrized HTML, Google Analytics and Google Friend Connect integration, SEO (meta-description) support and more.

Sarissa is an ECMAScript library acting as a cross-browser wrapper for native XML APIs. It offers various XML related goodies like Document instantiation, XML loading from URLs or strings, XSLT transformations, XPath queries etc and comes especially handy for people doing what is lately known as "AJAX" development. Supported browsers are Mozilla - Firefox and family, Internet Explorer with MSXML3.0 and up, Konqueror (KDE 3.3+ for sure), Safari and Opera 9.

MulTEx is a simple, but powerful framework for organizing exceptions and messages in a multi-tier Java software system. It offers the key features: Causal chains/trees as a means to capture low-level error information Redundancy-free stack traces in the case of indirectly caused exceptions Internationalizable message texts and parameters for exceptions Services for reporting an exception with its causal chain/tree onto streams and screens A standard way for writing method bodies with regard to exceptions. MulTEx depends on Java >= 1.4

The IntelligentGraph SAIL offers an extended capability for embedded calculation support within any RDF graph. When enabled as an RDF4J SAIL, it offers calculation functionality as part of the RDF4J engine, on top of any RDF4J repository, using a variety of script engines including JavaScript, Jython, and Groovy. It preserves the SPARQL capability of RDF4J, but with additional capabilities for calculation debugging and tracing. IntelligentGraph includes the PathQL query language. Just as a spreadsheet cell calculation needs to access other cells, an IntelligentGraph calculation needs to access other nodes within the graph. Although full access to the underlying graph is available to any of the scripts, PathQL provides a succinct, and efficient method to access directly or indirectly related nodes. PathQL can either return just the contents of the referenced nodes, or the contents and the path to the referenced nodes. PathQL can also be used standalone to query the IntelligentGraph-enabled RDF database. This supplements, rather than replaces, SPARQL and GraphQL, as it provides graph-path querying rather than graph-pattern querying capabilities to any IntelligentGraph-enabled RDF database. The principles of IntelligentGraph are described here: https://inova8.com/bg_inova8.com/intelligent-graph-knowledge-graph-embedded-analysis/ The full PathQL syntax is described here: https://inova8.com/bg_inova8.com/pathpatternql-intelligently-finding-knowledge-as-a-path-through-a-maze-of-facts/ Using Jupyter as an IDE to IntelligentGraph and RDF4J, shown here: https://inova8.com/bg_inova8.com/intelligentgraph-getting-started/ IntelligentGraph source is here in GitHub: https://github.com/peterjohnlawrence/com.inova8.intelligentgraph IntelligentGraph Docker containers are available here: https://hub.docker.com/repository/docker/inova8/intelligentgraph