{"id":1978,"date":"2012-08-23T10:20:52","date_gmt":"2012-08-23T14:20:52","guid":{"rendered":"http:\/\/www.synapse9.com\/signals\/?p=1978"},"modified":"2013-09-11T09:46:32","modified_gmt":"2013-09-11T14:46:32","slug":"natural-language-ontology","status":"publish","type":"post","link":"https:\/\/synapse9.com\/signals\/natural-language-ontology\/","title":{"rendered":"Mining cells of natural language (for semantic ontology)"},"content":{"rendered":"<p style=\"padding-left: 30px;\"><em>This is a brief but relevant comment, from my <a href=\"http:\/\/www.systemswiki.org\/index.php?title=Main_Page\">Systems Thinking World<\/a> discussions, points out a way the efforts by Goggle and others, to mine &#8220;meaning&#8221; from of the massive quantities of semantic data now available, is missing a golden opportunity. There are a variety of ways to use the natural structures of languages as a key. <\/em><\/p>\n<p>@Ferenc \u2013 I don\u2019t recall the subject of data mining semantic meaning coming up, but I sure agree there seems no computer search strategy yet in use for that. \u00a0\u00a0\u00a0I have some original technical ideas of how to do it, but they all begin with \u00a0learning to recognize how natural languages \u201cintegrate common knowledge\u201d for you, by how language communities naturally develop within their own social commons, (or \u201csilo\u201d).<\/p>\n<p>So the first step to learning how to read the natural organization of semantic structures generally is to learn how recognize and observe the development of natural languages and the semantic webs they create.\u00a0\u00a0 This STW community is one, for example, as is any other community with a sustained internal conversation.<\/p>\n<p>Armed with that, perhaps a computer whiz could learn to crawl the web to develop a lexicon of the code phrases of a great variety of distinctive language communities.\u00a0 That could provide a way to let you search on any topic of your interest, for any language group\u2019s interest in it.<\/p>\n<p>I&#8217;ve tried to suggest that to Google a few times, to let people do web searches from a \u201cscientific\u201d viewpoint, or \u201centertainment\u201d or \u201cyouth\u201d or \u201creligious\u201d, \u201cliberal\u201d, \u201cconservative\u201d, \u201cEuropean\u201d, \u201cAsian\u201d or other distinctive community of interest.<\/p>\n<p>Wouldn&#8217;t having that option, to look in on other language cultures and learn from what they&#8217;re learning from, would be very entertaining and enlightening itself, wouldn\u2019t it?<\/p>\n<p>&#8212;-<\/p>\n<p>also<\/p>\n<ul>\n<li>Sustainability &#8211; <a href=\"http:\/\/www.synapse9.com\/drwork.htm\">Finding emergent word use patterns in the NY Times<\/a><\/li>\n<li>General Systems Theory &#8211; <a href=\"http:\/\/www.synapse9.com\/drwork.htm\">Growth and decay in the language<\/a><\/li>\n<li>Complexity &amp; growth &#8211;\u00a0<a title=\"Complexity too great to follow what\u2019s happening\u2026 ??\" rel=\"bookmark\" href=\"http:\/\/www.synapse9.com\/signals\/2010\/12\/24\/complexity-too-great-to-follow-what%e2%80%99s-happening\/\">Complexity too great to follow what\u2019s happening\u2026 ??<\/a><\/li>\n<li>&#8211; Similar spatial mapping methods, like from satellite imagery or network mapping, locate cells of self-organizing systems from their development signatures and boundaries.<\/li>\n<\/ul>\n<p style=\"text-align: center;\"><a href=\"http:\/\/synapse9.com\/drwork.htm\">The physics of Happening<\/a> &amp;\u00a0<a href=\"http:\/\/www.synapse9.com\/drstats.htm\">Statistical\u00a0Methods<\/a><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This is a brief but relevant comment, from my Systems Thinking World discussions, points out a way the efforts by Goggle and others, to mine &#8220;meaning&#8221; from of the massive quantities of semantic data now available, is missing a golden opportunity. There are a variety of ways to use the natural structures of languages as &hellip; <a href=\"https:\/\/synapse9.com\/signals\/natural-language-ontology\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Mining cells of natural language (for semantic ontology)<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_crdt_document":"","footnotes":""},"categories":[8,11,12],"tags":[],"class_list":["post-1978","post","type-post","status-publish","format-standard","hentry","category-theory","category-research","category-scitheory"],"_links":{"self":[{"href":"https:\/\/synapse9.com\/signals\/wp-json\/wp\/v2\/posts\/1978","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/synapse9.com\/signals\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/synapse9.com\/signals\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/synapse9.com\/signals\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/synapse9.com\/signals\/wp-json\/wp\/v2\/comments?post=1978"}],"version-history":[{"count":1,"href":"https:\/\/synapse9.com\/signals\/wp-json\/wp\/v2\/posts\/1978\/revisions"}],"predecessor-version":[{"id":2433,"href":"https:\/\/synapse9.com\/signals\/wp-json\/wp\/v2\/posts\/1978\/revisions\/2433"}],"wp:attachment":[{"href":"https:\/\/synapse9.com\/signals\/wp-json\/wp\/v2\/media?parent=1978"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/synapse9.com\/signals\/wp-json\/wp\/v2\/categories?post=1978"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/synapse9.com\/signals\/wp-json\/wp\/v2\/tags?post=1978"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}