New Start-Up Tries to Use Semantic Technology to Save Media

January 25, 2011 – Bradford Cross, co-founder of a new start-up called Woven, is trying to solve the media versus web battle. That is a huge task since the web is disrupting the media business in some fundamental ways — distribution of content and the monetization.

We found this interesting bit of news on GigaOM in their article, ‘How Bradford Cross Plans to Save the Media Industry.” With a background in data analysis and machine learning, trying to create a different kind of web-based media company that could really learn what a user thought was relevant seems to be a leap. But Cross’ new start-up, Woven, is meant to do just that.

“It’s not just about personalization. It’s more than that. It’s about how media is consumed now. In the old days, you could just go to the New York Times and get all your news, or whatever. But that’s not the case anymore, and it will likely never be the case again. The news is all distributed now, to a thousand different places.”

Woven will be launching soon as an invitation-only beta so the company can fine-tune the semantic filtering algorithms and other systems it uses to learn from users. This will be an interesting product to watch.

Melody K. Smith

Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.

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Melody Smith

Melody K. Smith has provided organizational, social media and digital communication services to a large non-profit for the past twenty years. Prior to that she championed employee engagement and communications in the healthcare field. She holds a Bachelors degree in Marketing. When not wrangling and writing TaxoDiary content for your reading pleasure, Melody writes fiction, rescues dogs and throws legendary dinner parties.