This is the second post I’ve written using Zemanta, a blogging tool that recommends content based on what you’re writing. I tried installing their Wordpress plugin and got glitches so I tried the browser extension and am very impressed… it recommends pictures, articles, and links in real time as you write your post. The articles and links seem reasonably intelligent, but need to get better to be truly valuable. The pictures are decent as well… I thought that the pic above was absolutely stunning, not very relevant, but stunning. Lol, I also thought it was funny how a Zemanta logo didn’t pop up. Regardless of the strength of the recommendations, its the UI of the tool that excites me and makes me want to use it again… you realize that all the hype about semantic web technologies is cool, but it’s always a great user experience that paves the way forward.
Zemanta for bloggers
Twine sparks the semantic web
We’ve been following Twine for a good bit now, and are very excited to see it finally open in Beta. Twine is a tool that allows individuals, and more importantly, teams, to send items such as emails, notes, presentations, documents, webpages, pictures, and any other material involved in your personal and professional life to a twine or personal page. Their cutting edge semantic inferencing engine will then organize the data for you, helping you to gain a clearer perspective on what you and your team are working on, and also bring in creative recommendations from other individuals and teams with statistically and linguistically correlated twines.
We are especially interested in this because as a startup team, Twine’s system will prove invaluable in increasing productivity and creativity by having an outside party/unbiased mediator (their semantic inferencing engine) analyze our information and help align our thoughts and ideas. As a team, there is a commonality and vision that brings us together and binds us, but unfortunately without a purely unbiased outsider, the differences of each persons’ perceptions will leak into the project and slow it down due to self-interest. However, if you are sending your data to a team page/twine and their inferencing engine is what it is cracked up to be, then it will undoubtedly show us the most important linguistic and semantic components of our project, allowing us to creatively and productively move forward at a faster and more competitive pace. Read the rest of this entry »




