Digging Deep with Evri

During the Semantic Technology Conference in San Jose, I have been introduced to Evri by its CTO, Deep Dhillon. Deep explained how Evri differs from search engines such as Google and Bing.

Evri mines the web and adds a semantic layer to existing content. This enables their internal engine to build a network of meaningful facts and relations, which the company provides to its users. The natural language processing engine performs very well for a set of popular topics, but still needs a lot of improvement to semantify the deeper web. Figuring the latter out is and will be a major task for linguistic researchers.

Next up – get Collibra be recognized as key Semantic Data Integration provider. I can already provide the GoodRelations RDF file (discussed by Stijn in a previous post) describing the About Collibra widget and a link to the PwC report which recognizes Collibra as key industry player in Semantic Web field. Our recent movie Semantic Data Integration vs Plumbing can be added to the Videos widget, and our twitter feed is available on http://twitter.com/collibra. Deep, can you help us out?

Related articles

• Semantic searching – Evri (digital-constructions.com)
• DEMO: Evri uses semantic technology to generate more relevant context (venturebeat.com)
• Evri Teams Up with The Times of London, Helps Online Audience Browse the Web Better (xconomy.com)