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This project is meant to simplyfy the usage of the excelent Configuration Admin and MetaType services for Felix OSGi. The bundle will create a service that allows other bundles to register an annotated interface. The ManagedProperties service will then create all the Metatype information, as well as ensuring that objects are cast to their right types. ManagedProperties also has a feature called Filters. A Filter is used to create an object, say a File, directly from a primitive Configuration Admin type. It can also contain logic, to allow the configuration to fail if, for example, a File doesn't exist.

The TraceView Java instrumentation agent. Contains the required jar, configuration file and native libraries for Windows and Linux. TraceView provides application performance monitoring for Java web apps through this agent. The files contained here allow for event tracking within your application to identify latency timings between your application layers. More options can be found here: http://docs.traceview.solarwinds.com/Instrumentation/java.html#configuring-instrumentation. For other information on our Java agent please visit http://docs.traceview.solarwinds.com/Instrumentation/java.html.

This is an open source library for parsing text-based inputs. PARSER makes use of context-free grammars to validate and parse sentences. Having specified such a grammar, the library takes care of parsing text-based inputs and returns a tree of nodes that represents the parsed sentence. Furthermore, it provides ways for interpreting and refining the returned tree of nodes. In essence, the library aims to remove the pain of parsing and instead allow focusing on processing and interpreting parsed results.

We propose two efficient algorithms for exploring topic diversity in large document corpora such as user generated content on the social web, bibliographic data, or other web repositories. Analyzing diversity is useful for obtaining insights into knowledge evolution, trends, periodicities, and topic heterogeneity of such collections. Calculating diversity statistics requires averaging over the similarity of all object pairs, which, for large corpora, is prohibitive from a computational point of view. Our proposed algorithms overcome the quadratic complexity of the average pair-wise similarity computation, and allow for constant time (depending on dataset properties) or linear time approximation with probabilistic guarantees.