A Brief Explanation of Google Knowledge Graph
June 3, 2019
A “knowledge graph” maps series of connected items, like links or people, and Google has based its search results upon this concept for several years. Analytics India Magazine explains the technology in the write-up, “Knowledge Graphs Are the Reason Why You See Mona Lisa when You Google da Vinci.” Writer Disha Misal specifies:
“Based on the meta description, title, keywords and content, the meanings of the words that you search for is understood with the help of Knowledge Graphs. The results that follow the search is linked to the intent of the user. According to Google, this information is retrieved from many sources, including the CIA World Factbook, Wikidata, and Wikipedia. In October 2016, Google announced that the Knowledge Graph held over 70 billion facts. For instance, if you try to search the IAF pilot and Astronaut Rakesh Sharma on the internet, you will see that the Knowledge Graphs, which is a panel next to the web results, show suggestions that you might be interested in. Since he is an Indian and the user entering his name in the search box, you are probably interested in Indian astronauts so the Knowledge Graphs gives you pages like Kalpana Chawla, Sunita Williams and Ravish Malhotra.”
Of course, such conclusions require massive amounts of data to draw from, and part of Knowledge Graph is a framework for organizing and communicating that data. Misal notes the benefits of this technology go beyond search functionality—it is also being used to inform research on AI and machine learning. For more information, the article links to a video Google put out in 2012 introducing its Knowledge Graph.
Cynthia Murrell, June 3, 2019
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