Tag and Bookmark- Zemanta
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Lijit Search It is the only service that connects many well known databases in a single-point solution for discovering more context of your content. How Is It Done? We analyze your post through our proprietary natural language processing and semantic algorithms, and statistically compare its contextual framework to our preindexed database of content. We are using a combination of machine learning techniques and end-user input from our widget users, which enables us to train the engine and constantly improve the recommendations. Who Is This for? Media companies, trying to navigate through their archives, to expose their darkweb, or simply increase traffic within their web properties. Blog networks that want to integrate smart tools for their bloggers. We have proof-of-concept implementations for the largest of networks. Startups that have a great idea but no resources to build smart engines from scratch. You can now leverage years of work and experience built into our services to boost your development. Owners of content database storage systems to maximize their value in a cost-efficient way. Zemanta API Is an Ideal Solution Optimized for user-generated content Other semantic APIs are built to manage only well-formatted documents and texts. Zemanta is built with the fluid nature of today’s Web in mind and will not fail to extract the meaning even in the most dubious of situations. Semantic standards compliant RDF output, support for entities from Linking Open Data Robust and scalable architecture that will not let you down We use the exact same API and infrastructure to provide our smart blogging services to thousands of users daily. Back-ends are running in a cloud, scaling dynamically to meet demand. Implicit disambiguation means that it never confuses Apple for apples We achieve this by comparing numerous meanings of each extracted term and acting based on that evaluation. Jamie Taylor, Freebase Minister of Information at Metaweb Technologies said: „For publishers, the Zemanta API acts as a front door to the universe of open data on the web, facilitating the jump from unstructured text to semantic entities. You can take plain text, use the Zemanta API to resolve that text into strongly identified entities, and then query Freebase for detailed information about the mentioned people, places, movies, etc. Truly empowering.“

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Lijit Search

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August 27, 2009
STATE OF THE ART
Apple’s Sleek Upgrade

By DAVID POGUE
Buying software is not like buying a vase or a comb or a lawnmower where you pay, you take it home, and the transaction is complete.

No, buying software is more like joining a club with annual dues. Every year, there’s a new version, and if you don’t upgrade, you feel like a behind-the-curve loser.

There’s a time bomb ticking in that business model, however. To keep you upgrading, the software company has to pile on more features each time. Sooner or later, you wind up with a huge, sloshing, incoherent mess of a program; a pile of spaghetti code that doesn’t run well and makes nobody happy.

You’re in even worse shape if that bloatware is your operating system — the software you run all day. Just ask anyone with Windows Vista.

This year, though, Apple and Microsoft both realized that the pile-on-features model is unsustainable. Both are releasing new versions of their operating systems that are unapologetically billed as cleaned-up, slimmed-down versions of what came before.

Microsoft’s, called Windows 7, comes out in October. Apple’s, called Mac OS X 10.6 Snow Leopard, arrives on Friday, a month earlier than announced. (Apple to Microsoft: “Surprise!”)

Apple’s release strategy is highly unorthodox: “Leopard, a k a Mac OS X 10.5, was already a great OS-virus-free, nag-free and not copy-protected. So instead of adding features for their own sake, let’s just make what we’ve got smaller, faster and more refined.”

What? No new features? That’s not how the industry works! Doesn’t Apple know anything?

And then there’s the price of Snow Leopard: $30.  http://www.nytimes.com/

State of the Art — A Leap Forward With Snow Leopard — NYTimes.com.

Tag and Bookmark- David Pogue
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Excellent Read from Andy Quayle at Techburgh ! Living in Michigan we have Access to TV Ontario , many people from Canada who Live in States bordering Canada have Access to Canadian TV-It is interesting that for a reasonable price Andy Has  access to news etc from his country of Origin !  This is a plus for Digital Media !

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Very Professional Interview !  August 4, 2009
By Jennifer Zaino   ?Semantic Web

Putting Wikipedia to Work for the Semantic Web

August 4, 2009
By Jennifer Zaino

Semantic tags are in, free text tags are out. That’s what social bookmarking tool Faviki is advocating. Semantic tags will be a core building block of the next-generation web — and it’s leveraging the popular Wikipedia as a vast source of a universal controlled vocabulary to connect web pages to uniquely defined concepts.

SemanticWeb — Putting Wikipedia to Work for the Semantic Web.

Book Mark and Tag Faviki
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