Evri, a website which was launched in a private beta last week uses a semantic engine in order to help users discover related information. Evri is not a search engine but infact it helps you in finding related information by analyzing text to determine relationships between specific terms.
In its early stages, Evri only sorts within a limited set of results and possible search terms, based on what it considers to be the most popular terms and people. For example, a search for Bill Gates would yield a visual graph likning him to the Microsoft Corporation, his wife, children and other colleagues, along with the concise summary of his background. This approach of starting with only the most popular terms is evocative of Mohalo. Unlike the human-powered search engine Mohalo, Evri completely relies on its algorithms to create connections between people, products, events etcetera.
“Evri helps make sense of information by organizing knowledge on the Web based on its semantic meaning�, said Neil Roseman, CEO of Evri.
Evri can discriminate between grammatical objects such as subjects, verbs, and objects to create these connections.
Evri is entering into an era of competition with a semantic search market, especially Powerset and Hakia. Alhough, they don’t focus much on the relationships between objects but on providing highly organized results for a given term.
Evri is also seeking talented and energetic innovators to help them fundamentally change the way people find and interact with the information on the web. You can also sign up for the invites to a Beta Preview of Evri on their homepage and feel the difference.
