salsaDev: A new way to find related information
This is a very cool product from salsaDev which takes us one step closer to the Semantic Web. The salsaAPI 2.0 helps turn unstructured text into smart content. The video below explains it much better than I or even the press release I've attached below. My thanks to Stéphane Croisier (Jahia and also a salsaDev Board Member) for recommending that I take a look at this product.
SalsaAPI 2.0: the next-generation content intelligence engine
Geneva, November 10, 2010 – salsaDev SA is happy to announce it just closed its Series A Financing round exceeding $1 Mio, with institutional and private investors. salsaDev is simultaneously releasing its new product, salsaAPI 2.0 (api.salsadev.com), leveraging the 2nd generation of its flagship technology. salsaAPI automates text analysis and semantic indexing on large volumes of information, helping organizations reach the next level of content intelligence.
The salsaAPI 2.0 offers a powerful RESTful API to index various sources of raw content, automatically enrich it with additional metadata and match it with texts of similar meanings. The product combines a comprehensive set of features into one single offering, including text analysis, intelligent search & discovery and content mining. As opposed to several competitors, the product can be used online or onsite and can be easily embedded within any 3rd party sites or applications.

So it is only fitting, that I at least talk about this case study on the Navy's use of the Magnolia content management system on Veteran's Day. The recent Navy.com was redesigned to be more interactive, more responsive to user needs, and better integrated with social media communities nurtured by the U.S. Navy. Additionally, the site needed to support the Navy’s recently launched new brand, “America’s Navy. A Global Force For Good™”.
However, occasionally Mollom can be too aggressive and remove legitimate story and comment submissions. And when I say "remove" I most definately intend to use the word in the literal way. You see, up to now, Mollom had an "all or none" approach to rejecting or accepting spam. When your stories or comments were rejected, the content submission was simply discarded without review by a human.