For those who know Dave Davies, he loves reading Google patents, or at the very least, reading Bill Slawski’s analysis of them over on his blog, SEO By The Sea.
For Dave, he as quite an interest in those that involves entities, as they are the ones that are defining the very problems that Google is trying to solve. When it comes to the evolution of machine learning, entities are representing how search engines are increasingly viewing the world.
But what is an entity? The definition is as follows, according to the patent:
[fusion_builder_container hundred_percent=”yes” overflow=”visible”][fusion_builder_row][fusion_builder_column type=”1_1″ background_position=”left top” background_color=”” border_size=”” border_color=”” border_style=”solid” spacing=”yes” background_image=”” background_repeat=”no-repeat” padding=”” margin_top=”0px” margin_bottom=”0px” class=”” id=”” animation_type=”” animation_speed=”0.3″ animation_direction=”left” hide_on_mobile=”no” center_content=”no” min_height=”none”][A]n entity is a thing or concept that is singular, unique, well-defined and distinguishable. For example, an entity may be a person, place, item, idea, abstract concept, concrete element, other suitable thing, or any combination thereof.
Another definition that’s important in this situation is unstructured data, which is defined by Wikipedia as such:
Unstructured data … refers to information that either does not have a pre-defined data model or is not organized in a pre-defined manner.
So now that we have this information, let’s check out the rest of Dave Davies‘ post on Search Engine Land by following the link below. In it, Dave explains a recent Google patent which hints at how the search engine processes entity information to answer questions. This can provide hints into how SEOs can structure their content to be deemed relevant.
Source – Dave Davies[/fusion_builder_column][/fusion_builder_row][/fusion_builder_container]