KBpedia - Machine Learning

<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01//EN">    <html lang="en">  <head> <title>KBpedia - Machine Learning</title> <link rel="alternate" type="application/rss+xml" title="" href="/resources/feeds/news.xml" />  <meta charset="utf-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <meta name="description" content=""> <meta name="author" content="">  <link rel="shortcut icon" href="/favicon.ico">  <link rel="stylesheet" href="/assets/plugins/bootstrap/css/bootstrap.min.css"> <link rel="stylesheet" href="/assets/css/style.css">  <link rel="stylesheet" href="/assets/plugins/line-icons/line-icons.css"> <link rel="stylesheet" href="/assets/plugins/font-awesome/css/font-awesome.min.css">  <link rel="stylesheet" href="/assets/css/theme-colors/blue.css"> <link rel="stylesheet" href="/assets/css/footers/footer-v1.css"> <link rel="stylesheet" href="/assets/css/headers/header-v1.css">  <link rel="stylesheet" href="/css/custom.css"> <meta property="og:site_name" content="KBpedia"/> </head> <body> <div class="wrapper"> <div class="header-v1">  <div class="topbar"> <div class="container"> <div class="col-md-1"> </div> <a class="navbar-brand" href="/"> <img id="logo-header" src="/imgs/kbpedia-logo-420-horz.png" height="75" alt="KBpedia Knowledge Structure" name="logo-header"> </a> </div> </div>  <div class="navbar navbar-default mega-menu" role="navigation"> <div class="container">  <div class="navbar-header"> <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".navbar-responsive-collapse"> <span class="sr-only">Toggle navigation</span> </button> </div> <div style="clear:both; 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KBpedia is explicitly designed to expose rich and meaningful feature sets to support the broadest range of machine learning methods. </p> </div> <div class="col-md-3"> <img class="img-responsive img-tab-space" style="height: 200px;" src="/imgs/machine_learning.png" alt=""> </div> <div class="col-md-2">   </div> </div> <div class="row"> <div class="col-md-2">   </div> <div class="col-md-8"> <p> Supervised learning is where positive, labeled examples define the objective function for the machine learner. Accurate labeling is essential — but expensive because it ultimately requires manual vetting. Methods to automate as much of this effort as possible, including providing candidate labels, preparing training sets, or evaluating results, are keys to reducing overall setup costs. Distant supervision is where a knowledge base informs parts of these steps; even sparse portions of the knowledge base can inform semi-supervised learning. </p> <p> KBpedia is specifically structured to enable meaningful splits across a myriad of dimensions from entities to relations to types that can all be selected to create positive and negative training sets, across multiple perspectives. The disjointedness of the SuperTypes that organize the 58,000 reference concepts in KBpedia provide a powerful selection and testing mechanism. The coherency of KBpedia provides a basis for logic tests to further improve accuracy, including the creation of local gold standards at acceptable cost. </p> <p> However, KBpedia, with its extremely rich feature sets across all aspects of the knowledge base, is also an excellent basis for unsupervised learning. It is often advisable to include some initial unsupervised learning in a more general supervised learning context. </p> </div> <div class="col-md-2">   </div> </div> <div class="row"> </div> <div class="row"> <div class="col-md-2">   </div> <div class="col-md-8"> <a href="/background/uses/" class="btn rounded btn-info pull-right">Continue with the story <i class="fa fa-arrow-right"></i></a> </div> <div class="col-md-2">   </div> </div> </div>  <div class="footer-v1"> <div class="footer"> <div class="container"> <div class="row">  <div class="col-md-3 md-margin-bottom-40"> <table> <tbody><tr> <td> <a href="/"> <img id="logo-footer" class="footer-logo" src="/imgs/logo-simple-purple.png" alt="" name="logo-footer"> </a> </td> </tr> <tr> <td> <center> <p> KBpedia </p> </center> </td> </tr> </tbody></table> <p style="font-size: 0.85em;"> KBpedia exploits large-scale knowledge bases and semantic technologies for machine learning, data interoperability and mapping, and fact extraction and tagging. </p> </div>   <div class="col-md-3 md-margin-bottom-40"> <div class="posts"> <div class="headline"> <h2> Latest News </h2> </div> <ul class="list-unstyled latest-list">  <li> <a href="https://kbpedia.org/resources/news/kbpedia-adds-ecommerce/">KBpedia Adds Major eCommerce Capabilities</a> <small>06/15/2020</small> </li>  <li> <a href="http://kbpedia.org/resources/news/kbpedia-continues-quality-improvements/">KBpedia Continues Quality Improvements</a> <small>12/04/2019</small> </li>  <li> <a href="http://kbpedia.org/resources/news/wikidata-coverage-nearly-complete/">Wikidata Coverage Nearly Complete (98%)</a> <small>04/08/2019</small> </li> </ul> </div> </div> <div class="col-md-3 md-margin-bottom-40"> <div class="headline"> <h2> Other Resources </h2> </div> <ul class="list-unstyled link-list"> <li> <a href="/resources/about/">About</a> </li> <li> <a href="/resources/faq/">FAQ</a> </li> <li> <a href="/resources/news/">News</a> </li> <li> <a href="/use-cases/">Use Cases</a> </li> <li> <a href="/resources/documentation/">Documentation</a> </li> <li> <a href="/resources/privacy/">Privacy</a> </li> <li> <a href="/resources/terms-of-use/">Terms of Use</a> </li> </ul> </div>  <div class="col-md-3 map-img md-margin-bottom-40"> <div class="headline"> <h2> Contact Us </h2> </div> <address class="md-margin-bottom-40"> c/o <a href="mailto:info@mkbergman.com?subject=KBpedia%20Inquiry">Michael K. 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KBpedia - Machine Learning