Collaborative Knowledge Management, powered by the Semantic Web
Wikis and social software have revolutionized the ways we create and distribute knowledge. The Semantic Web has already begun to transform the ways we maintain, discover and share knowledge across platforms.
The KiWi - "Knowledge in a Wiki" - project proposes a new approach to knowledge management that combines the wiki philosophy with the intelligence and methods of the Semantic Web.
Pages to get you started:
* KiWi-Vision: An introduction to KiWi's core ideas, ideal for non-technical audiences.
* KiWi-System: Learn how KiWi aims to break system and information boundaries!
* The Use Cases: Of particular interest for businesses and people from the industry.
* KiWi is a blogger! Read what the project members have been up to.
* Project Wiki: Wiki and internal workspace for KiWi project members (NOT identical with KiWi).
SWiM: A Semantic Wiki for Mathematical Knowledge Management
SWiM is a semantic wiki for collaboratively building, editing and browsing a mathematical knowledge base. Its pages, containing mathematical theories, are stored in OMDoc, a markup format for mathematical knowledge. Our long-term objective is to develop a software that facilitates the creation of a shared, public collection of mathematical knowledge (e.g. for education) and serves work groups of mathematicians as a tool for collaborative development of new theories.
The implementation of SWiM, based on IkeWiki, is currently in a prototype stage. An version based on an older release of IkeWiki is now available for download under the GNU GPL. Bugs and to-dos are documented in our Trac system. See the MathWeb wiki for instructions about downloading and a documentation of current on-goings in the SWiM project and related projects. The latter can also be found on the KWARC research blog.
Knoodl is sort of an ontology editor, registry/repository, and wiki all rolled into an easy to use online application. There's never been anything quite like it.
* Upload an ontology you already have, or build one from scratch.
* Add rich documentation with wikitext, so that other people can understand what your ontology is about.
* Work with other people on the same vocabulary, at the same time
* Find and download other ontologies and use them in semantic applications.