I’ve written a couple of posts about patents at Google on personalized knowledge graphs (a topic worth thinking about seriously). When Google introduced the “Knowledge Graph” in 2012, they told us about just one knowledge graph. But it appears that they didn’t intend the idea of a knowledge graph to be a singular one – … Read more Where will we go with Personalized Knowledge Graphs?
Entity Seeking Queries and Semantic Dependency Trees Queries for some searches may be entity seeking queries. Someone may ask, “What is the hotel that looks like a sail.” That query may look for an entity such as the building, the Burj Al Arab Jumeirah. That entity may be identified by looking at Semantic Dependency Trees, … Read more Entity Seeking Queries and Semantic Dependency Trees
How might Google improve on information from sources such as knowledge bases to help them answer search queries? That information may be learned from or inferred from sources outside of those knowledge bases when Google may: Analyze and annotate images Consider other data sources A recent Google patent on this topic defines knowledge bases for … Read more How Google May Annotate Images to Improve Search Results
Quote Searching has shifted at Google with an Updated Continuation Patent In August of 2017, I wrote the post Google Searching Quotes of Entities. I wrote about the patent Systems and methods for searching quotes of entities using a database. This quote searching patent was updated last year (February 2019) with a continuation patent. I … Read more Quote Searching Updated at Google to Focus on Videos
A recently granted patent from Google covers supporting querying and predictions. It does this by focusing on user-specific knowledge graphs. Those User Specific Knowledge Graphs can be specific to particular users. Google can use those graphs to provide results in response to one or more queries submitted by the user, and/or to show data that … Read more User-Specific Knowledge Graphs to Support Queries and Predictions