As New Scientist recently reported, a team of research scientists at Google has published a paper (PDF) explaining the idea of Knowledge-Based Trust (KBT), an alternate way of determining the quality of web pages by looking at how accurate they are.
"The quality of web sources has been traditionally evaluated using exogenous signals such as the hyperlink structure of the graph. We propose a new approach that relies on endogenous
signals, namely, the correctness of factual information provided by the
source. A source that has few false facts is considered to be
trustworthy."
The paper goes on to describe how Google could use an extraction process to compare the facts it finds on web pages to facts that are stored in a knowledge base (think Knowledge Graph/Knowledge Vault), and reward pages that are found to be more accurate. In cases where a single web page doesn’t have enough facts, the paper suggests relying on other pages from the same website to determine trustworthiness.
Google has been building a massive database of known facts for years, and in 2012 introduced its Knowledge Graph. That’s the source of those information boxes that show on the right side of Google search results (primarily) for searches involving people, places and known entities.
Steu
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