Martin Halbert Lara Campbell Tess DeBlanc-Knowles Jemin George Wo Chang Adam Pah Douglas Maughan Ilya Zaslavsky Amanda Stathopoulos Ellie Young Kat Albrecht Amit Sheth Emanuel Sallinger Katerine Osatuke Angela Rizk-Jackson Eric Jahn Kenneth Berkowitz Bandana Kar Erica Smith Krzystof Janowicz Brian Handspicker Esther Jackson Lauren Sanders Chengkai Li Florence Hudson Lilit Yeghiazarian Cogan Shimizu Glenn Ricart Louiqa Raschid Dalia E. Varanka Greg Seaton Luis Amaral Oktie Hassanzadeh Silviu Cucerzan Matt Bishop Ora Lassila Sharat Israni Matthew Lange Pascal Hitzler Ryan McGranaghan Michael Cafarella Paul Wormeli Todd Bacastow Sam Klein Murat Omay Sergio Baranzini Ying Ding Nariman Ammar Pamela Livingston Shelby Smih Chaitan Baru 2022 <p>Open access to shared information is essential for the development and evolution of artificial intelligence (AI) and AI-powered solutions needed to address the complex challenges facing the nation and the world. The Open Knowledge Network (OKN), an interconnected network of knowledge graphs, would provide an essential public-data infrastructure for enabling an AI-driven future. It would facilitate the integration of diverse data needed to develop solutions to drive continued strong economic growth, expand opportunities, and address complex problems from climate change to social equity. The OKN Roadmap describes the key characteristics of the OKN and essential considerations in taking the effort forward in an effective and sustainable manner. </p> application/pdf en National Science Foundation Open knowledge network roadmap: Powering the next data revolution reports