SMW+ is a mature, proven semantic enterprise Wiki for teams which need a human-readable and agile knowledge base for collaborating on rich text and data in their day-to-day work. It includes features for authoring and sharing articles which are supplemented with powerful semantic features. Users can annotate data in articles to enrich them with knowledge at will (e.g., “2011/01/17 is the due date of the proposal”, or “this process step depends on a previous step Payment”). This data can be used to generate dynamic reports within the Wiki or within Microsoft Office applications. Users who have been granted appropriate rights can adjust the structure of the knowledge base (the ontology) on the fly, adapting the Wiki to current needs based on the current situation. Users can, for example, make expressions in the Wiki which say that the knowledge object “Product” specializes in “Star”, “Cash Cow”, “Poor Dog” and “Question Mark”. Apart from authoring data manually, company-specific business rules can be used to populate the knowledge base automatically with data. Additional data can be integrated into the Wiki from heterogeneous external data silos. In doing this, this data is made available to the users, who may in turn use it to generate reports or even visualize the data in the preferred format.
The Linked Media Framework is an easy-to-set-up server application that bundles central Semantic Web technologies to offer advanced services. The Linked Media Framework consists of LMF Core and LMF Modules. The core component of the Linked Media Framework is a Linked Data Server that allows you to expose data following the Linked Data Principles. The Linked Data Server implemented as part of the LMF goes beyond the Linked Data principles by extending them with Linked Data Updates and by integrating management of metadata and content and making both accessible in a uniform way. Its extensions are described in more detail in LinkedMediaPrinciples. In addition to the Linked Data Server, the LMF Core also offers a highly configurable Semantic Search service and a SPARQL endpoint. Setting up and using the Semantic Search component is described in SemanticSearch. Accessing the SPARQL endpoint is described in SPARQLEndpoint. Whereas the extension of the Linked Data principles is already conceptually well-described, work is proceeding on a proper specification and extension of Semantic Search and SPARQL endpoint for Linked Data servers.