web3.0

Semantic MediaWiki – Meta Semantic MediaWiki – Meta Semantic MediaWiki has moved! Please go to semantic-mediawiki.org. The below page is outdated and no longer maintained. “Start to explore the full power of Wikipedia …” – Welcome to the Wikimedia project "Semantic MediaWiki"! See also[Bearbeiten]
A semantic wiki is a wiki that has an underlying model of the knowledge described in its pages. Regular, or syntactic, wikis have structured text and untyped hyperlinks. Semantic wikis, on the other hand, provide the ability to capture or identify information about the data within pages, and the relationships between pages, in ways that can be queried or exported like a database.[1][2] Semantic wikis were first proposed in the early 2000s, and began to be implemented seriously around 2005. As of 2013, the best-known semantic wiki software, and the only one with significant usage on public websites, is Semantic MediaWiki. Key characteristics[edit] Semantic wiki Semantic wiki
The 2nd Startup Crawl is taking place next Friday, on the 21st of March, in Ljubljana. Zemanta proudly participates in it and is thus opening three time slots, each for up to 30 pre-registered attendees. We strongly encourage you to do so ASAP — over here!

Enterprise - for professional blogs and media

Enterprise - for professional blogs and media
SWEL Workshop: Ontologies and Semantic Web for E-Learning SWEL'08 @ ITS'08: Ontologies and Semantic Web for Intelligent Educational Systems {*style:<b>In conjunction with the 9th International Conference on Intelligent Tutoring Systems Montreal, Canada, June 23-27, 2008 </b>*} SWEL'08 Workshop Photos SWEL Workshop: Ontologies and Semantic Web for E-Learning
Was bedeutet Semantic Tagging?
Blogging Semantic, all the news, insights and thinking from Semantic.
The People’s Google « Evolving Trends Author: Marc Fawzi Twitter: http://twitter.com/#!/marcfawzi The People’s Google « Evolving Trends
ATLAS.ti - The Knowledge Workbench:: Features ATLAS.ti ist ein leistungsfähiges analytisches Werkzeug. Seine individuellen Auswertungsmöglichkeiten sind zentral organisiert und für maximale Effizienz, Genauigkeit und Leistung ausgelegt. Cloud Views bieten sehr schnellen, genauen und dennoch intuitiven analytischen Zugriff auf Ihr Datenmaterial. Das Query-Tool, der Cooccurence Explorer und die Codes-PD-Tabelle ermöglichen eingehende und umfassende Analysen. Der Schwerpunkt des Query-Tools und des Cooccurence-Baum-Explorers liegen auf qualitativen Ergenissen; die anderen Werkzeuge liefern quantitative Informationen, die sich als Verweise auf die qualitativen Daten dahinter nutzen lassen. Cloud Views für Codes und Dokumente ATLAS.ti - The Knowledge Workbench:: Features