Google’s Knowledge Graph- Entity Based Search Results
Google is continuously updating the ‘searching’ feature to provide the users more convenient and better results i.e. to give them what they are looking for. Google’s search works on the keyword based searches i.e. it will give you the results based on the entered query and not what you are finding
But now, Google search is getting more smart than before, it will now show you what you meant by your entered search query. This new feature has been named as Google’s “Knowledge Graph”. When you’ll enter any search query which has different meanings for example “kings” then it has different meanings like royal, name of a team or a TV show. Once you’ll type this search query
a separate window will appear on the right side of your search results intimating you to select the desired entity, once the entity will be selected the results will then be filtered according to the selected search entity.
Elaborating it more, Google is now eventually moving towards the entity based search results i.e. the results will be filtered by identifying the entity, relationships and other factors. As Ben Gomes defines it that Google is switching from strings to things. To understand this concept consider the example of ‘New York’, it’s not just the combination of two different words rather it’s a state for Google and it identifies New York as part of U.S and other similar attributes like surrounded by Atlantic ocean etc.
In Google’s Knowledge Graph database there are over 500 million people, places and things which have more than 3.5 billion attributes attached to it. Now, Google is getting smarter enough to understand what you really mean by entering a keyword.
Initially this result change will impact the searches within US and will be rolled out to other regions very soon. This update will bring a major change than the combined initial impact of other changes/updates.
Try out this nee feature or if you have already gone through it then share you reviews and opinions in the comments below.
Author @ 3wogle