The Semantic Web is the next generation in knowledge networking. Twine.com is a new service that helps communities build and share knowledge around their interests through the application of semantics. Once you ingest in all the information you want to organize, Twine applies a semantic analysis to it that creates tags for each document or video or photo. The tags match up to concepts that Twine’s algorithms associate with each piece of content, regardless of whether that concept is specifically mentioned in the Web page or other content being tagged.

Twine’s in closed beta right now – but it’s been in the oven for a long time, has substantial investor backing and is highly anticipated. For one Twine mines whatever metadata may already be present in the documents it’s working with. Secondly, it runs natural language processing on the content to analyze entities and convert them to semantic tags. User tagging is also there, and according to Spivack around 80% of tags are automatically found and suggested for the user to minimize work. Additionally, Twine uses machine learning to categorize data using the 300,000 taxonomic categories of the Wikipedia for reference. Of more importance, Spivack mentions that imported data will not be locked in, it’ll be exportable with the added semantic information so that it can be reused somewhere else.

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Wednesday, October 22nd, 2008 at 1:50 pm | by Kur-nia-one |