It seems smart tagging is a hot topic these days. Here is a quick list we managed to put up together which contains a few very interesting and promising start up engines that are greatly performing the task of clustering the content into meaningful components and further adding intelligent and smart tags for better organization of the information.
Jiglu is coming out of the
NosyJoe is a social search engine РІР‚вЂњ still appears to be in private beta – that relies on you to sniff for and submit the web’s interesting content. Once submitted, NosyJoe then extracts the meaningful sentences, phrases and keywords from the content and makes it meaningfully searchable, web visible and findable, clusters it into contextual channels and smart tags and applies a set of algorithms and user patterns to further ranking, mashing and sharing. The site is also available to only English based content. NosyJoe is also contextually hyper linking to the source from all extracted meaningful sentences. Other search engines will be able to index anything in the public area of NosyJoe, pretty much like TwineРІР‚в„ўs plans, along with the smart tags that have been assigned to the extracted and clustered information within their platform.
There is no publicly available information as to who stands behind NosyJoe and the money invested in so far and who their investors are, but it seems the start up is also based in the Silicon Valley and has recently been mention in the New York Times. From their blog, we have seen they have created more than 400,000 contextual tags in just several months during their private beta testing period all generated from user submissions.
Twine is planned to be a place to organize information you find or create on the Web such as bookmarks, notes, videos, photos, contacts, tasks and more. To make it easier they plan to offer a web browser plug-in to save stuff to your Twine wherever you may find it on the Web. You can also share that information with a private group or publicly. Once you submit in all the information you want to organize, Twine applies a semantic analysis to it that creates tags for each document, video or photo. The tags match up to concepts that TwineРІР‚в„ўs algorithms associate with each piece of content, regardless of whether that concept is specifically mentioned in the web page or other content being tagged. What Twine basically does is automatically generating smart tags and connects them together. Twine is putting structure onto all of this unstructured data that is out there by analyzing it and adding tags to it that are connected together.
The project is still in private beta. The startup is known to have raised about $10 million from Paul Allen, Peter Rip, and Ron Conway and is based in San Francisco.
Just like in the case with Jiglu and NosyJoe, Twine is also dependant on the people to start using it first before it reveals its full potential.
Other players in this space include Attendi, Diigo, and Freebase.
More information can be found over the following web places: