by    in Data Science, Google Knowledge Graph

How Ranker leverages Google’s Knowledge Graph

Google recently held their I/O conference and one of the talks was given by Freebase’s Shawn Simister, who was once Freebase’s biggest fan, and has since gone on to work at Google, which acquired Freebase a few years ago.  What is Freebase?  It’s the structured semantic data that powers Google’s knowledge graph and Ranker, along with many other organizations featured in this talk (Ranker is mentioned around the 8:45 mark).  This talk gives organizations that may not be familiar with Freebase an overview of how they can leverage the Freebase’s semantic data.

How does Ranker use the knowledge graph?  Freebase’s semantic data powers much of what we do at Ranker and the below graph illustrates how we relate to the semantic web.

How Ranker Relates to the Semantic Web

We leverage the data from the semantic web, often via Freebase, to create content in list format (e.g. The Best Beatles Songs), which our users then vote on and re-rank.  This creates an opinion data layer that is easily exportable to any other entity (e.g. The New York Times or Netflix) that is connected to the larger semantic web.  Our hope is that just as people in the presentation are beginning to create mashups of factual data, eventually people will also want to merge in opinion data, and we hope to have the best semantic opinion dataset out there when that happens.  The more people that connect their data to the semantic web, the more lists we can create, and the more potential consumers exist for our opinion data.  As such, we’d encourage you to check out Shawn’s presentation and hopefully you’ll find Freebase as useful as we do.

– Ravi Iyer