Lately I have been dreaming of knowledge graphs, iteratively refined and detailed, that allow us to pore over what we know and enhance our knowledge.\u00a0 A framework and language for amplifying, amending, annotating, qualifying, contextualizing, decomposing, reconstituting, synthesizing and comparing specific and uniquely-named elements of trains of logic, thought, computation, interpolation, and other inference.<\/p>\n
One shared element that I keep coming back to is an underlayer of data, assertions, and reported knowledge, designed to support many different\u00a0mesh<\/em> sizes (for the conceptual mesh used to describe an observation), to let you expand observations into increasingly granular bits, and to add context and background, tracing them back to their original observation.\u00a0 To make use of it efficient, it would also support\u00a0clusterings<\/em> (for the equivalence class of names that, in the current context, resolve to the same thing), and filters<\/em> (for deciding what data to include or exclude in a given view).<\/p>\n For all of this, I propose a collective project to which we can all contribute: an Underlay, comprised of networks of interlinked, structured data.\u00a0 Each point versioned, meshed, linked to its sources, and linking likewise to the composites and analyses that have relied on it.\u00a0 Each underlay a composite of many different layers, each with its own canonical mesh-grain; and the global Underlay project a constellation of the individual underlays, providing a way to name and disambiguate an idea or claim or discussion.<\/p>\n","protected":false},"excerpt":{"rendered":" Lately I have been dreaming of knowledge graphs, iteratively refined and detailed, that allow us to pore over what we know and enhance our knowledge.\u00a0 A framework and language for amplifying, amending, annotating, qualifying, contextualizing, decomposing, reconstituting, synthesizing and comparing specific and uniquely-named elements of trains of logic, thought, computation, interpolation, and other inference. One […]<\/p>\n","protected":false},"author":1202,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[1],"tags":[],"class_list":["post-4117","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p7iVvB-14p","jetpack-related-posts":[],"_links":{"self":[{"href":"https:\/\/archive.blogs.harvard.edu\/sj\/wp-json\/wp\/v2\/posts\/4117","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/archive.blogs.harvard.edu\/sj\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/archive.blogs.harvard.edu\/sj\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/archive.blogs.harvard.edu\/sj\/wp-json\/wp\/v2\/users\/1202"}],"replies":[{"embeddable":true,"href":"https:\/\/archive.blogs.harvard.edu\/sj\/wp-json\/wp\/v2\/comments?post=4117"}],"version-history":[{"count":3,"href":"https:\/\/archive.blogs.harvard.edu\/sj\/wp-json\/wp\/v2\/posts\/4117\/revisions"}],"predecessor-version":[{"id":4120,"href":"https:\/\/archive.blogs.harvard.edu\/sj\/wp-json\/wp\/v2\/posts\/4117\/revisions\/4120"}],"wp:attachment":[{"href":"https:\/\/archive.blogs.harvard.edu\/sj\/wp-json\/wp\/v2\/media?parent=4117"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/archive.blogs.harvard.edu\/sj\/wp-json\/wp\/v2\/categories?post=4117"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/archive.blogs.harvard.edu\/sj\/wp-json\/wp\/v2\/tags?post=4117"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}