Technology Overview Whitepaper

Whitepaper

Yoogli's Content Syndication Engine is the alternative to Keyword Search.

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Interactive Demo

Cogs

Get a hands on look on how Yoogli really works.

Launch Demo

Yoogli Patent Information

Yoogli Patent Information

Read a brief synopsis on the patent recently given to the Yoogli core technology.

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Technology Overview

Current search engines such as Google, Yahoo and MSN use conventional keyword searches and return any instance of the word being sought, regardless of the way the word is used (the “meaning” of the word) in the website. Users are left to the time-consuming and often frustrating task of sifting through too many irrelevant matches from too few sources.

With the next advancement from current keyword search, Yoogli’s Semantic Search converts terms and words into a semantic model representing not just the words, but their actual meaning. For example, the word “bass” can mean a fish, an instrument, a beverage or a shoe—it depends on the user’s intention. The Yoogli semantic model of the search term is then compared against the semantic models of the resources available in the global search space. Yoogli’s patented Semantic Search provides an added dimension of discrimination that reduces the search space by a factor of up to 10,000 yielding far more relevant search results, more efficiently. And user search results are ever-improving through Yoogli’s Semantic Personalization Engine which tracks the user’s interests, behavior, linguistic style and past queries.

The Yoogli Collection Manager, a Social Networking Application, enables users to create, save, edit and share groups of relevant websites around a topic or related topics. Users can view collections from other people that have a related semantic relationship to their search terms. For example, if an elderly parent is diagnosed with diabetes, her daughter can search for diabetes-related collections which will decrease the time to find pertinent information. If a collector gathers a substantial group of data in related semantic spaces, the system may deem him a subject expert. Experts in aligned areas may affiliate, allowing for the automated formation of social networks, a significant advancement beyond current manual networking sites.