Recent Updates to the KnowledgeGraph and DQL
Added Organization.suppliers to the graph, i.e. type:Organization suppliers.name:"Diffbot"
Organization Data Additions
Added Place.headOfPlace and corresponding employment
Heads of state and heads of government
Coverage Reports Now Available for Bulk Enhance
Coverage Reports for Bulk Enhance Jobs (CSV)
The Coverage Report is a detailed summary of attribute coverage, per entity, and includes the % coverage per field in the dataset overall. The report is downloadable as a CSV from the Report API: https://kg.diffbot.com/kg/v3/enhance/bulk//. The report information is also included in the Enhance Bulk job Status API response: https://kg.diffbot.com/kg/v3/enhance/bulk//status, and can be specified for inclusion with the parameters filter
or exportspec
Organization.revenue model - improved quality & coverage
We improved the Organization.revenue estimation model and extended coverage to 95+% of all organization profiles in the KG. Search: type:Organization has:revenue to explore all or narrow in on corporations by searching type:Corporation has:revenue.
3x More Non-Profit Organizations Identified in the KG
We added a new ML model for Organization.isNonProfit, increasing the accuracy and coverage for non-profit organizations in the KG.
Test Our APIs Without Leaving Diffbot Docs
docs.diffbot.com got a HUGE makeover recently. We've migrated over 250 pages from 3 separate documentation sites and organized multiple API specifications into the same view. Our favorite new feature is the ability to test APIs directly in the docs. Enter some input parameters and submit to get a response immediately. Then copy the request code into your application. Try it out with the DQL Search API.
Optimized and expanded industry classifications
We've added a new Organization attribute "diffbotClassification" that expands industry classification to three or more levels, e.g.
Added 'technographics' as an attribute of Organizations (Alpha)
We are slowly rolling out support for 'technographics' as an attribute of Organizations. Ultimately, there will be many sources of this data and coverage across all Organizations in the graph. To start, more than 8.5Mil companies include some level of technographic data. Below is an example of how the technology is represented in the default JSON output (excerpted from the IBM entity).
Improved accuracy of estimated employee counts for publicly-traded, US companies
We recently improved the accuracy of the estimate populating the 'nbEmployees' attribute for publicly-traded US organizations in the Knowledge Graph by expanding analysis of data from sec.gov reports. 70%+ of the SEC-10k documents now include nbEmployees for each reporting period.
Added "customers" as an attribute of Organizations
We recently added sources to the Knowledge Graph that provide insights into 'service provider <> customer' relationships. The 'customer' attribute is populated for over 50k companies. Here is an example of a customer of IBM's represented in JSON: