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The leading example of a public, general\u2010purpose open knowledge network (\n                    <jats:italic>aka<\/jats:italic>\n                    knowledge graph) is Wikidata, which has demonstrated remarkable advances in quality and coverage over this time. Proprietary knowledge graphs drive some of the leading applications of the day including, for example, Google Search, Alexa, Siri, and Cortana. Open Knowledge Networks are exciting: they promise the power of structured database\u2010like queries with the potential for the wide coverage that is today only provided by the Web. With the current state of the art, building, using, and scaling large knowledge networks can still be frustratingly slow. This article describes a National Science Foundation Convergence Accelerator project to build a set of Knowledge Network Programming Infrastructure systems to address this\u00a0issue.\n                  <\/jats:p>","DOI":"10.1002\/aaai.12038","type":"journal-article","created":{"date-parts":[[2022,5,9]],"date-time":"2022-05-09T08:42:36Z","timestamp":1652085756000},"page":"59-68","update-policy":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Infrastructure for rapid open knowledge network development"],"prefix":"10.1002","volume":"43","author":[{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0000-0001-6122-0590","authenticated-orcid":false,"given":"Michael","family":"Cafarella","sequence":"first","affiliation":[{"name":"MIT CSAIL Cambridge Massachusetts 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