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Web 3.0 Make News Worth More June 2, 2010

Posted by Joanne KY Teoh in Convergence, Journalism, News, Reviews, Social Media, Trends.
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The Web has evolved from a tangle of text to a database capable of understanding its own content. As Web 3.0 or the semantic Web gets smarter, it’s possible for news publishers to improve the value and shelf life of news with rich metadata.

Web 3.0 can be used as a strategy for enabling communication between independent databases on the Web. For example, the wealth of data in databases at Amazon, the Environmental Protection Agency, Twitter and Wikipedia don’t know anything about one another. So there’s no way to answer questions like, “What is the impact of pollution on population?” or “What do people tweet about on smoggy days?”

News publishers can use the semantic Web to monetize content, engage users and launch new products because news articles lie between fleeting tweets and durable journals, and thus have the most potential to grab and retain readers.

Metadata improves reader engagement by linking together related media. For news users, that means more context on each story and a more personalized experience. For advertisers, it means better demographic data than ever before.

OpenCalais, a Thomson Reuters tool can examine any news article, understand what it’s about, and connect it to related media. This is more than a simple keyword search. OpenCalais extracts “named entities,” analyzing sentence structure to determine the topic of the article. It is able to understand facts and events.

The real magic happens when the databases come together, such as when the BBC wanted to create a comprehensive resource for information about bands. By merging its own information with entries from Wikipedia and MusicBrainz, the BBC created a website that seems to know everything about music.

Related read
How the Semantic Web Can Connect News



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