It’s not just talk, apparently. In this writeup based on an ISWC 2018 session moderated by Google’s Natasha Noy, including knowledge graphs experts from Microsoft, Facebook, eBay, and IBM, Microsoft seems to be #2 in knowledge graph size after Google.
Those graphs come in different sizes and shapes, and are used for different purposes. It’s interesting to compare Google’s and Microsoft’s graphs, as they are both used to support search and answering questions in search and during conversations. Microsoft’s graph has more entities (2 billion compared to Google’s 1 billion), but less connections (55 billion vs. 70 billion).
That’s something to keep in mind when comparing Google and Bing results, for example: connections matter. But that’s not the only takeaway from this. Seeing how graphs at such scale deal with the key requirements of coverage, correctness, structure, and freshness, has a lot to teach.
Knowledge graphs are critical to many enterprises today: They provide the structured data and factual knowledge that drive many products and make them more intelligent and “magical.”.