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The Google Knowledge Graph Search API on a query for Google shows the following Entities and results scores for them. I thought they were diverse enough to be interesting and worth sharing. A couple of the ones listed seem odd, such as the Indian Action movie. “Thuppakki” and the Town in Kansas,”Topeka.” We are told by Google that “Results with higher result scores are considered better matches.
… look at the specific elements the patent outlines as relevant to entity valuation: Relatedness: Relatedness is the idea that an entity is related to a subject, keyword or other entity. Google outlines how they determine this by referencing co-occurrence. Essentially, by comparing the number of times two entities are referenced together on the web…
… in the data graph, determine that conditions for a first collection are met, and generate an indication in the data graph that the node is a member of the first collection. The first of these patents focuses upon finding collections of entities and creating collections. The second one describes how members may be added to a collection. The knowledge panel…
… tools/cards and more. The last extension I'm going to cover here is called Green Turtle RDFa. This extension provides not only provides a complete listing of subject-predicate-object triples information on a web page, but also a visualization of that information. Here's a view of the information Green Turtle has gleaned from the Walmart product…