KBpedia - Open-source Integrated Knowledge Structure

<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"> <html><head><!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01//EN">    <html lang="en">  <head> <title>KBpedia - Open-source Integrated Knowledge Structure</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" 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class="navbar-toggle" data-toggle="collapse" data-target=".navbar-responsive-collapse"> <span class="sr-only">Toggle navigation</span> </button> </div> <div style="clear:both; height: 1px;">   </div>  <div class="col-md-1">   </div> <div class="collapse navbar-collapse navbar-responsive-collapse col-md-10"> <ul class="nav navbar-nav pull-left">  <li> <a href="/">Home</a> </li>  <li> <a href="/knowledge-graph/">knowledge Graph</a> </li> <li> <a href="http://sparql.kbpedia.org/">SPARQL</a> </li>  <li class="dropdown"> <a href="/background/">Background</a> <ul class="dropdown-menu"> <li> <a href="/background/overview/">Overview</a> </li> <li> <a href="/background/features-and-benefits/">Features & Benefits</a> </li> <li> <a href="/background/data-and-knowledge-structures/">Data and Knowledge Structures</a> </li> <li> <a href="/background/technology/">Technology</a> </li> <li> <a href="/background/machine-learning/">Machine Learning</a> </li> <li> <a href="/background/uses/">Uses</a> </li> </ul> </li> <li class="dropdown"> <a href="/use-cases/">Use Cases</a> <ul class="dropdown-menu"> <li class="dropdown-submenu"> <a href="/use-cases/knowledge-graph/">Knowledge Graph (KG)</a> <ul class="dropdown-menu"> <li><a href="/use-cases/browse-the-knowledge-graph/">Browse the Knowledge Graph</a></li> <li><a href="/use-cases/search-the-knowledge-graph/">Search the Knowledge Graph</a></li> <li><a href="/use-cases/expand-queries-using-semsets/">Expand Queries Using Semsets</a></li> <li><a href="/use-cases/use-and-control-of-inferencing/">Uses and Control of Inferencing</a></li> </ul> </li> <li class="dropdown-submenu"> <a href="/use-cases/machine-learning-use-case/">Machine Learning (KBAI)</a> <ul class="dropdown-menu"> <li><a href="/use-cases/text-classification-using-esa-and-svm/">Create Supervised Learning Training Sets</a></li> <li><a href="/use-cases/document-specific-word2vec-training-corpuses/">Create Word Embedding Corpuses</a></li> <li><a href="/use-cases/extending-kbpedia-with-kbpedia-categories/">Create Graph Embedding Corpuses</a></li> <li><a href="/use-cases/text-classification-using-esa-and-svm/">Classify Text</a></li> <li><a href="/use-cases/dynamic-machine-learning/">Create 'Gold Standards' for Tuning Learners</a></li> <li><a href="/use-cases/disambiguating-kbpedia-knowledge-graph-concepts/">Disambiguate KG Concepts</a></li> <li><a href="/use-cases/dynamic-machine-learning/">Dynamic Machine Learning Using the KG</a></li> </ul> </li> <li class="dropdown-submenu"> <a href="/use-cases/mapping-use-case/">Mapping</a> <ul class="dropdown-menu"> <li><a href="/use-cases/mapping-external-data-and-schema/">Map Concepts</a></li> <li><a href="/use-cases/extending-kbpedia-with-kbpedia-categories/">Extend KBpedia with Wikipedia</a></li> <li><a href="/use-cases/benefits-from-extending-kbpedia-with-private-datasets/">Extend KBpedia for Domains</a></li> <li><a href="/use-cases/mapping-external-data-and-schema/">General Use of the Mapper</a></li> </ul> </li> </ul> </li> <li class="dropdown"> <a href="/resources/">Resources</a> <ul class="dropdown-menu"> <li><a href="/resources/downloads/">Download KBpedia</a></li> <li><a href="/resources/about/">About KBpedia</a></li> <li><a href="/resources/faq/">KBpedia FAQ</a></li> <li><a href="/resources/news/">News About KBpedia</a></li> <li><a href="/resources/statistics/">KBpedia Statistics</a></li> <li><a href="/resources/documentation/">Additional Documentation</a></li> <li><a href="/resources/support/">Support for KBpedia</a>.</li> </ul> </li> </ul> </div> <div class="col-md-1">   </div> </div> </div> </div> </head> <script type="application/ld+json"> [ { "@context" : "http://schema.org", "@type" : "SoftwareApplication", "name" : "KBpedia", "image" : "http://kbpedia.org/imgs/kbpedia-logo-244.png", "url" : "http://kbpedia.org/", "author" : { "@type" : "Person", "name" : "Michael Bergman, Fred Giasson" }, "datePublished" : "2020-3-10", "publisher" : { "@type" : "Organization", "name" : "Cognonto Corporation" }, "applicationCategory" : "knowledge graph/artificial intelligence", "downloadUrl" : "https://github.com/Cognonto/kbpedia/tree/master/versions/2.50", "operatingSystem" : "All", "requirements" : "OWL 2, SKOS, RDF", "softwareVersion" : "2.50" }, { "@context" : "http://schema.org", "@type" : "SoftwareApplication", "name" : "KBpedia", "image" : "http://kbpedia.org/imgs/kbpedia-logo-244.png", "url" : "http://kbpedia.org/", "author" : { "@type" : "Person", "name" : "Michael Bergman, Fred Giasson" }, "datePublished" : "2020-3-10", "publisher" : { "@type" : "Organization", "name" : "Cognonto Corporation" }, "applicationCategory" : "knowledge graph/artificial intelligence", "downloadUrl" : "https://github.com/Cognonto/kbpedia/tree/master/versions/2.50", "operatingSystem" : "All", "requirements" : "OWL 2, SKOS, RDF", "softwareVersion" : "2.50" } ] </script> <body><div class="breadcrumbs"> <div class="container"> <div class="col-md-1">   </div> <div class="col-md-10"> <h1 class="pull-left"></h1> <ul class="pull-right breadcrumb"> <li> </li> <li class="active"> </li> </ul> </div> <div class="col-md-1">   </div> </div> </div>    <div class="call-action-v1"> <div class="container"> <div style="margin-right: 246px;"> <div class="test-left" style="float: left; width: 100%;"> <div class="call-action-v1-box"> <div style="border: 0px solid ; width: 244px; float: left; margin-right: 80px; margin-bottom: 20px;"><img src="/imgs/kbpedia-logo-244.png"></div> <p style="margin: 36px 6px; font-size: 24px; text-align: left;">     KBpedia is an open-source knowledge graph that combines seven leading public knowledge bases into an integrated and computable structure. KBpedia has 98% coverage of Wikidata and nearly complete coverage of Wikipedia. The KBpedia distro includes its upper ontology (KKO), full knowledge graph, mappings to the major knowledge bases, and 70 largely disjoint typologies. The latest KBpedia release is version 2.50, which expands its usefulness to eCommerce and logistics.</p> <p> KBpedia is a comprehensive knowledge structure for promoting data interoperability and knowledge-based artificial intelligence, or <a style="font-size: 18px;" href="http://www.mkbergman.com/category/kbai/">KBAI</a>. The KBpedia knowledge structure combines seven 'core' public knowledge bases — <a style="font-size: 18px;" href="https://en.wikipedia.org/wiki/Wikipedia">Wikipedia</a>, <a style="font-size: 18px;" href="https://en.wikipedia.org/wiki/Wikidata">Wikidata</a>, <a style="font-size: 18px;" href="https://schema.org/">schema.org</a>, <a style="font-size: 18px;" href="http://dbpedia.org/">DBpedia</a>, <a style="font-size: 18px;" href="https://en.wikipedia.org/wiki/GeoNames">GeoNames</a>, <a style="font-size: 18px;" href="https://en.wikipedia.org/wiki/Cyc">OpenCyc</a>, and standard <a style="font-size: 18px;" href="https://en.wikipedia.org/wiki/UNSPSC">UNSPSC products and services</a> — into an integrated whole. KBpedia's upper structure, or knowledge graph, is the KBpedia Knowledge Ontology. We base KKO on the universal categories and knowledge representation insights of the great 19th century American logician, polymath and scientist, <a style="font-size: 18px;" href="https://en.wikipedia.org/wiki/Charles_Sanders_Peirce">Charles Sanders Peirce</a>.</p> </div> <div class="call-action-v1-box" style="padding: 0pt;"> <p>KBpedia, written primarily in <a style="font-size: 18px;" href="https://en.wikipedia.org/wiki/Web_Ontology_Language">OWL 2</a>, includes more than 58,000 reference concepts, mapped linkages to about 40 million entities (most from Wikidata), and 5,000 relations and properties, all organized according to about 70 modular typologies that can be readily substituted or expanded. We test candidates added to KBpedia using a rigorous suite of logic and consistency tests — and best practices — before acceptance. The result is a flexible and computable knowledge graph that can be sliced-and-diced and configured for all sorts of machine learning tasks, including supervised, unsupervised and deep learning. </p> </div> <div class="call-action-v1-box" style="padding: 0pt;"> <p style="margin-top: 40px;"> KBpedia, KKO and its mapped information can drive multiple <a style="font-size: 18px;" href="/use-cases/">use cases</a> such as providing a computable framework over Wikipedia and Wikidata, supervised and unsupervised machine learning, creating word embedding models, fine-grained entity recognition and tagging, relation and sentiment extractors, and categorization. Knowledge-based AI models may be set up and refined with unprecedented speed and accuracy by leveraging the integrated KBpedia structure. </p> <p style="margin-top: 40px; padding-bottom: 36px;"> To learn more, explore the KBpedia <a style="font-size: 18px;" href="/knowledge-graph">knowledge graph</a>, try out the KBpedia <a style="font-size: 18px;" href="http://sparql.kbpedia.org/">SPARQL endpoint</a>, or <a style="font-size: 18px;" href="/resources/downloads/">download resources</a>.</p> </div> </div> <div class="test-right" style="width: 236px; margin-right: -300px; margin-top: 100px; float: right; border: 1px solid #8BC53F;"> <center><a href="http://mkbergman.com/a-knowledge-representation-practionary/"><img title="A Knowledge Representation Practionary" alt="A Knowledge Representation Practionary" src="/imgs/krp-220.jpg" style="border: 0px solid; margin-top: 5px;" align="center"></a></center> <p style="text-align:center; font-size: 1.2em; padding: 4px; margin-top: 12px; font-weight: bold; line-height: 1.2; color: #004182;">Practical guidance on KR, knowledge graphs, semantic technologies, and KBpedia<p> <p style="text-align:center;"><a href="https://www.springer.com/gp/authors-editors/book-authors-editors/author-services/your-book-in-all-formats/ebooks-go-in-print-mycopy/19882"><span style="font-size:1.3em; font-weight:bold;">$25</span></a> in softcover<sup>*</sup></p> <p style="text-align:center;"><a href="http://mkbergman.com/a-knowledge-representation-practionary/"><button class="btn-u btn-u-orange" type="button"><i class="fa fa-rocket"></i> Tell Me More</button></a></p> <p style="text-align:center; font-size: 0.8em; padding: 8px;"><sup>*</sup>for <a style="font-size: 0.9em;" href="https://www.springer.com/us/book/9783319980911">Springer subscribers</a></p> </div> </div> </div> </div>  <div style="background-image: url(imgs/purple_shade_bg.png); background-repeat: repeat-x; width: 100%; height: 80px;">   </div>  <div class="container content" style="width: 100%;">  <div class="owl-carousel-v1 owl-work-v1 margin-bottom-40"> <div class="owl-recent-works-v1"> <div class="item" style="width: 90%; float: left; text-align: center; padding-left: 20px; paddking-right: 20px;"> <a href="/docs/what-is-kbai/"> <div class="headline"><h2 style="padding-bottom: 15px; width: 90%;">Knowledge-based<br>Artificial Intelligence</h2></div> <em class="overflow-hidden"> <img class="img-responsive" src="imgs/kbai.jpeg" style="margin: 0 auto; display: block; float: none;"> </em> <span> <i>KBAI is the staging of knowledge bases, schema and data into a form expressly designed to generate features and to create training sets and corpora for supervised, unsupervised and deep machine learning</i> </span> </a> </div> <div class="item" style="width: 90%; float: left; text-align: center; padding-left: 20px; paddking-right: 20px;"> <a href="/docs/semantic-technologies/"> <div class="headline"><h2 style="padding-bottom: 15px; width: 90%;">Semantic<br>Technologies</h2></div> <em class="overflow-hidden"> <img class="img-responsive" src="imgs/semantic-technologies.jpeg" style="margin: 0 auto; display: block; float: none;"> </em> <span> <i>Semantic technologies capture what concepts and entities and their relations mean, including all of the various terms and acronyms that may refer to them across human languages, and then how they are connected</i> </span> </a> </div> <div class="item" style="width: 90%; float: left; text-align: center; padding-left: 20px; paddking-right: 20px;"> <a href="/standards/"> <div class="headline"><h2 style="padding-bottom: 15px; width: 90%;">Open<br>Standards</h2></div> <em class="overflow-hidden"> <img class="img-responsive" src="imgs/standards2.png" style="margin: 0 auto; display: block; float: none;"> </em> <span> <i>KBpedia uses open semantic Web and linked data standards from the World Wide Web Consortium, notably RDF, RDFS, OWL2, SPARQL, SKOS and SWRL; we write most code and data structs in Clojure</i> </span> </a> </div> </div> </div>  </div> <div style="background-image: url(imgs/orange_shade_bg.png); background-repeat: repeat-x; width: 100%; height: 80px;">   </div> <div class="container content"> <div class="margin-bottom-10"></div>  <div class="headline"><h2>Uses</h2></div> <div class="row content-boxes-v2 margin-bottom-30"> <div class="col-md-4 md-margin-bottom-30" style="padding: 20px;"> <h2 class="heading-sm"> <a class="link-bg-icon" href="/use-cases/mapping-external-data-and-schema/"> <img src="imgs/concept_tagging.png"> <span style="padding-left: 10px; font-size: large; font-weight: bold;">Concept Tagging</span> </a> </h2> <p class="text-justify">Expand KBpedia's more than 58,000 general concepts with ones relevant to your own business and domain, and then tag all forms of document and text input</p> </div> <div class="col-md-4 md-margin-bottom-30" style="padding: 20px;"> <h2 class="heading-sm"> <a class="link-bg-icon" href="/use-cases/mapping-external-data-and-schema/"> <img src="imgs/entity_tagging.png"> <span style="padding-left: 10px; font-size: large; font-weight: bold;">Entity Tagging</span> </a> </h2> <p class="text-justify">Add your specific data to the more than 40 million entries already in KBpedia to tag chosen entities of interest and to disambiguate references</p> </div> <div class="col-md-4 md-margin-bottom-30" style="padding: 20px;"> <h2 class="heading-sm"> <a class="link-bg-icon" href="/mapping-use-case/"> <img src="imgs/mapping.png"> <span style="padding-left: 10px; font-size: large; font-weight: bold;">Mapping</span> </a> </h2> <p class="text-justify">Mapping is essential to bring in new knowledge bases and to integrate your existing vocabularies, schema, and instance data to work within the KBpedia structure</p> </div> </div> <div class="row content-boxes-v2 margin-bottom-30"> <div class="col-md-4 md-margin-bottom-30" style="padding: 20px;"> <h2 class="heading-sm"> <a class="link-bg-icon" href="/data-integration/"> <img src="imgs/data_integration.png"> <span style="padding-left: 10px; font-size: large; font-weight: bold;">Data Integration </span> </a> </h2> <p class="text-justify">The consistent and coherent scaffolding provided by KBpedia is a computable basis for incorporating new data, ensuring that your data integration efforts are fast and logical</p> </div> <div class="col-md-4 md-margin-bottom-30" style="padding: 20px;"> <h2 class="heading-sm"> <a class="link-bg-icon" href="/use-cases/search-the-knowledge-graph/"> <img src="imgs/semantic_search.png"> <span style="padding-left: 10px; font-size: large; font-weight: bold;">Semantic Search</span> </a> </h2> <p class="text-justify">Information grounded in a knowledge graph means you can now go beyond labels to deal with what things mean and to broaden search by inference and semsets</p> </div> <div class="col-md-4 md-margin-bottom-30" style="padding: 20px;"> <h2 class="heading-sm"> <a class="link-bg-icon" href="/machine-learning-use-case/"> <img src="imgs/machine_learning_home.png"> <span style="padding-left: 10px; font-size: large; font-weight: bold;">Machine Learning</span> </a> </h2> <p class="text-justify">The rich set of features and structure in KBpedia translates into fast setups and nearly automatic support for all leading AI machine learning techniques</p> </div> </div>  </div> <div style="background-color: rgb(114, 192, 44); width: 100%; height: 3px;">   </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. Bergman</a> <br> 380 Knowling Drive <br> Coralville, IA 52241 <br> U.S.A. <br> Voice: +1 319 621 5225 </address> </div>  </div> </div> </div> <div class="copyright"> <div class="container"> <div class="row"> <div class="col-md-7"> <p class="copyright" style="font-size: 10px;"> 2016-2022 漏 <a href="http://kbpedia.org" style="font-size: 10px;">Michael K. 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KBpedia - Open-source Integrated Knowledge Structure