Wintermute is an intelligent framework of applications and libraries that uses neural networking to learn about its host. A pseudo-langauge engine that permits translations and grammar rulesets of any language to be incorporated into the system, and database downloads of different sets of data combine to provide a virtual self-thinking assistant that can be used to perform tasks like dictation to a text editor, and more complex tasks such as sorting of documents depending on the time of day, or automation of other routine tasks. It should be noted that Wintermute itself is a meta-project. It encompasses a large array of currently existing and potential produced projects.
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.