Posts Tagged ‘Andraz Tori’
Zemanta, a semantic service that extracts entities within the text of a publisher’s content and suggests related media, links and tags to add to a work as it’s being written, has launched a content discovery network to complement its suggested recommendations for which authors create original content.
The focus here is on providing editorial control. Publishers can feature content recommendations from their site, other web sites (Zemanta has 300,000 publishers in its network), and advertisers, taking advantage of the option to let Zemanta’s semantic algorithms automatically make those selections for them or to take the manual content selection route. Another option is to blacklist sites that they don’t consider appropriate content sources.
Andraz Tori is the Owner and Chief Technology Officer at Zemanta, a tool that uses natural language processing (NLP) to extract entities within the text of a blog and enrich it with related media and articles from Zemanta’s broad user base. This interview was conducted for Part 3 of the series “Dynamic Semantic Publishing for Beginners.”
Q. Although the term “Dynamic Semantic Publishing” appears to have come out of the BBC’s coverage of the 2010 World Cup, it looks as though Zemanta has been applying many of the same principles on behalf of smaller publishers since 2008. Would you characterize it this way, or do you think that Zemanta is a more limited service with specific and targeted uses, while the platform built by BBC is its own semantic ecosystem? How broadly should we define Dynamic Semantic Publishing?
A. What Zemanta does is empower the writer through semantic technologies. It’s like having an exoskeleton that gives you superpowers as an author. But Zemanta does not affect the post after it was written. On the other hand dynamic semantic publishing is based on the premise of bringing together web pages piece-meal from a semantic database, usually in real time.
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