![]() ![]() Everything you want to know about any person, place, or topic is there. Wikipedia is another example of a knowledge graph. As people write about Will Smith more, and he makes more movies, his knowledge graph grows. It's everything you need to know about this famous actor. On the right-hand side of your search results page, you see the knowledge graph for Will Smith: pictures of him, his family, vital stats and net worth, his social accounts, movies he has been in, people connected to him in some way (family, fellow actors, etc.). Go to Google and search for a famous actor - Will Smith. ![]() It is a database of people, places, and things and how they are connected. Launched in 2012, Google’s knowledge graph focuses on public web searches. If you spend any time on Google, you’ve been exposed to a knowledge graph. What if you could take search to the next level? What if you could get search results that show you how things are connected (or aren’t), enabling you to get the insights you need to make good decisions quickly?Ī Knowledge Graph transforms basic search into a set of relationships, connecting what may at first glance seem completely unrelated, or what would take you days or weeks to connect manually. But too often, search is limited to a quick keyword search and a set of links that leave you trying to figure out what you need. The ability to search for information and find what you need is a critical knowledge management capability for any enterprise search platform. ![]()
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