{"id":19662,"date":"2021-12-17T12:52:53","date_gmt":"2021-12-17T11:52:53","guid":{"rendered":"https:\/\/wordlift.io\/blog\/en\/?p=19662"},"modified":"2021-12-20T10:50:01","modified_gmt":"2021-12-20T09:50:01","slug":"knowledge-graph-validation","status":"publish","type":"post","link":"https:\/\/wordlift.io\/blog\/en\/knowledge-graph-validation\/","title":{"rendered":"Knowledge Graph Validation"},"content":{"rendered":"\n<p>Knowledge validation is an important task in the curation of <a class=\"wl-entity-page-link\" title=\"content is\" href=\"https:\/\/wordlift.io\/blog\/en\/entity\/knowledge-graph\/\" data-id=\"http:\/\/data.wordlift.io\/wl0216\/entity\/knowledge_graph;https:\/\/www.wikidata.org\/wiki\/Q33002955\" >knowledge graphs<\/a>. Validation (also known as fact-checking) aims to evaluate whether a statement in a knowledge graph (KG) is semantically correct and corresponds to the so-called \u201creal\u201d world.<\/p>\n\n\n\n<p>In this article, we describe our proposed <strong>approach for validating knowledge graphs (KGs).<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"#KG-validation\"><span style=\"font-family: -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Oxygen-Sans, Ubuntu, Cantarell, &quot;Helvetica Neue&quot;, sans-serif;\">Knowledge Validation<\/span><\/a><\/li><li><a href=\"#approach\">Approach<\/a><\/li><li><a href=\"#where-use-it\">Where can you use it?<\/a><\/li><li><a href=\"#tools-and-tecnology\">Tools and Technology<\/a><\/li><li><a href=\"#summary\">Summary<\/a><\/li><li><a href=\"#references\">References<\/a><\/li><\/ul>\n\n\n\n<p><strong>Knowledge Graphs<\/strong><\/p>\n\n\n\n<p>Nowadays, various KGs have been created. For instance, <a class=\"wl-entity-page-link\"  href=\"https:\/\/wordlift.io\/blog\/en\/entity\/dbpedia\/\" data-id=\"http:\/\/data.wordlift.io\/wl0216\/entity\/dbpedia;http:\/\/rdf.freebase.com\/ns\/m.02rw2c7;http:\/\/yago-knowledge.org\/resource\/DBpedia;http:\/\/dbpedia.org\/resource\/DBpedia\" >DBpedia<\/a> and <a class=\"wl-entity-page-link\"  href=\"https:\/\/wordlift.io\/blog\/en\/entity\/wikidata\/\" data-id=\"http:\/\/data.wordlift.io\/wl0216\/entity\/wikidata;http:\/\/yago-knowledge.org\/resource\/Wikidata;http:\/\/rdf.freebase.com\/ns\/m.0j9kvph;http:\/\/dbpedia.org\/resource\/Wikidata;http:\/\/de.dbpedia.org\/resource\/Wikidata;http:\/\/pt.dbpedia.org\/resource\/Wikidata;http:\/\/lv.dbpedia.org\/resource\/Vikidati;http:\/\/uk.dbpedia.org\/resource\/\u0412\u0456\u043a\u0456\u0434\u0430\u043d\u0456;http:\/\/id.dbpedia.org\/resource\/Wikidata;http:\/\/en.dbpedia.org\/resource\/Wikidata;http:\/\/is.dbpedia.org\/resource\/Wikidata;http:\/\/it.dbpedia.org\/resource\/Wikidata;http:\/\/es.dbpedia.org\/resource\/Wikidata;http:\/\/et.dbpedia.org\/resource\/Wikidata;http:\/\/ro.dbpedia.org\/resource\/Wikidata;http:\/\/nl.dbpedia.org\/resource\/Wikidata;http:\/\/no.dbpedia.org\/resource\/Wikidata;http:\/\/fi.dbpedia.org\/resource\/Wikidata;http:\/\/ru.dbpedia.org\/resource\/\u0412\u0438\u043a\u0438\u0434\u0430\u043d\u043d\u044b\u0435;http:\/\/be.dbpedia.org\/resource\/\u0412\u0456\u043a\u0456\u0434\u0430\u0434\u0437\u0435\u043d\u044b\u044f;http:\/\/bg.dbpedia.org\/resource\/\u0423\u0438\u043a\u0438\u0434\u0430\u043d\u043d\u0438;http:\/\/fr.dbpedia.org\/resource\/Wikidata;http:\/\/sk.dbpedia.org\/resource\/Wiki\u00fadaje;http:\/\/sl.dbpedia.org\/resource\/Wikipodatki;http:\/\/ca.dbpedia.org\/resource\/Wikidata;http:\/\/sr.dbpedia.org\/resource\/\u0412\u0438\u043a\u0438\u043f\u043e\u0434\u0430\u0446\u0438;http:\/\/sv.dbpedia.org\/resource\/Wikidata;http:\/\/cs.dbpedia.org\/resource\/Wikidata;http:\/\/pl.dbpedia.org\/resource\/Wikidane;http:\/\/da.dbpedia.org\/resource\/Wikidata;http:\/\/tr.dbpedia.org\/resource\/Vikiveri\" >Wikidata<\/a> KGs have been created <strong>semi-automatically<\/strong> and through crowdsourcing respectively. However, <strong>those KGs might have errors, duplicates, or missing values. <\/strong>Moreover, KGs are used in search engines and personal assistants applications. For example, Google shows the fact \u201c<em>Gartenhotel Maria Theresxia GmbH\u2019s phone is 05223563130<\/em>\u201d that might be wrong to advertise because the main switchboard of the hotel can be reached under \u201c<em>0522356313\u201d<\/em>. See Fig. 1.&nbsp;<\/p>\n\n\n\n<p class=\"has-text-align-center\"><img decoding=\"async\" width=\"624\" height=\"337\" src=\"https:\/\/lh6.googleusercontent.com\/yCLi5HEh64wubCZyJjctYITLoxrbltIjbbl-f4bLTQdUNyTp5x5ykTYWuxTnY5sFCWzoGBhHFmWws-TWVEyO0X6KZXMK0p2KaiVzkn-3jbKLOfCD3P8djB7lvaGjGlqaXcRpnA04\"><\/p>\n\n\n\n<p class=\"has-text-align-center\"><em>Fig. 1: Knowledge Panel of Garten hotel.<\/em><\/p>\n\n\n\n<p><strong>Knowledge Sources<\/strong><\/p>\n\n\n\n<p>Apart from KGs mentioned above, there are <strong>various knowledge sources<\/strong> that collect and store content and data of the Web. For instance, <strong><a href=\"https:\/\/developers.google.com\/maps\/documentation\/places\/web-service\/overview\">Google places<\/a> <\/strong>is a service offered by Google and it provides data about <strong>more than 200 million businesses, places, points of interest, and more.<\/strong> Furthermore, there are <strong>other knowledge sources<\/strong>, such as Yandex Places or Open Street Maps (OSM) that provide data about places, restaurants, points of interest, and much more. <strong>Those knowledge sources can be used to validate statements of KGs.<\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"KG-validation\">Knowledge Validation<\/h2>\n\n\n\n<p>To ensure that a KG is of high quality, one important task is <strong>knowledge validation<\/strong>: it measures the degree to which statements are correct. For instance, knowledge validation measures to which degree information about a hotel (e.g. Hotel Alpenhof\u2019s phone number is +4352878550) is correct based on comparing information of the same hotel in a set of knowledge sources. See Fig. 2.<\/p>\n\n\n\n<p class=\"has-text-align-center\"><img decoding=\"async\" width=\"624\" height=\"173.54577757114868\" src=\"https:\/\/lh5.googleusercontent.com\/iPPUt4eL7NSlq_gWGn1MbKJFnVNiyCIYSMH_6nQtH39yO4Qg4yHho2CZaMoQ6NelCGWDyyhWaDhxRwL4YifMKQUPbQjU7GAF6fs8njwwppb1j6cyL7cK0o2tCJ0zkiVtzrmSr5Rw\"><\/p>\n\n\n\n<p class=\"has-text-align-center\"><em>Fig. 2: Validating information about the Hotel Alpenhof.<\/em><\/p>\n\n\n\n<p>KG validation carried out by human experts is a time-intensive and non-scaleable task. Therefore, <strong>an approach to validate data semi-automatically is needed<\/strong>. There are some approaches that can help with this process, see Fig. 3.<\/p>\n\n\n\n<p class=\"has-text-align-center\"><img decoding=\"async\" width=\"624\" height=\"176.9799245704597\" src=\"https:\/\/lh5.googleusercontent.com\/rsvKDEpzSoTls6Jgtm8uV7bfWEODWVjEpcTRGIWyPaHvz8slmHS7klcpmkMtXyORroYDJSZSCiHEPdKEO21nsAAuGX9YUwH6tUgRkbWTGfl6og60zy0tK_SZWJHgp6Yxcq-rWWBE\"><\/p>\n\n\n\n<p class=\"has-text-align-center\"><em>Fig. 3: Overview of validation approaches [Huaman et al., 2020]<\/em><\/p>\n\n\n\n<p>Further, we present our approach to validating KGs based on weighted sources.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"approach\">Approach<\/h2>\n\n\n\n<p>The process overview of the <strong>Validator<\/strong> is shown in Fig. 4. At first, users have to set their KG as input to the Validator. Internally, the Validator retrieves data from external knowledge sources (e.g., Google Places, Yandex Places), the Validator performs instance matching to identify which instances (e.g., hotels) refer to the same \u201creal-world\u201d entity, for example, it retrieves <em>Alpenhof hotel<\/em> from external sources.&nbsp;<\/p>\n\n\n\n<p class=\"has-text-align-center\"><img decoding=\"async\" width=\"613\" height=\"267\" src=\"https:\/\/lh6.googleusercontent.com\/pMqWEsy3Q1JfLlFFKECereypZ1LiN6ZtUfsqXpyUNEG00zHwZE7WgH3grsQIcodlOrTGMzp74LsL3URVyg18t99r2DFPD26hbIjbr-a4WiQ7CsPZkM4hGJ-r1jmjSgtqh1cx8kfQ\"><\/p>\n\n\n\n<p class=\"has-text-align-center\"><em>Fig. 4: KG Validation process overview.<\/em><\/p>\n\n\n\n<p>Later on, the instance scoring process is triggered and the properties (e.g., name, phone number, address) of the same instances are compared with each other. For example, the address of <em>Alpenhof Hotel<\/em> from the user\u2019s KG is compared with the address value of the <em>Alpenhof Hotel <\/em>from Google Places, Yandex Places, and so on. Note that <strong>each external source is weighted according to its importance<\/strong>: a user can set the weight of (his or her personal) importance for Google Places, Yandex Places, and so on. 0 is the minimum degree of importance and a value of 1 is the maximum degree.<\/p>\n\n\n\n<p class=\"has-text-align-center\"><img decoding=\"async\" width=\"624\" height=\"265\" src=\"https:\/\/lh3.googleusercontent.com\/m_c5DJxNY8DA-cvxiz5ouHPQ1oSPeXGqg298CsJ7NjfnvBFdj_N7N4xcYz_2KdAd4o37ziPUyMysdJXjY7iQ88C1wPehhCZUj1Zv9uRZrULVqNHHBVeC03calLt1JhwaZpwWToie\"><\/p>\n\n\n\n<p class=\"has-text-align-center\"><em>Fig. 5: Screenshot of the Validator [Huaman et al., 2021].<\/em><\/p>\n\n\n\n<p>Finally, the computed scores are shown via a graphical user interface (see Fig. 5). It allows users to <strong>select multiple properties<\/strong> (e.g. address, name, and\/or phone number) to be validated, users can assign\/change weights to external sources.<br>Full details about the approach, implementation and evaluation are provided at [Huaman et al., 2021].<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"where-use-it\">Where can you use it?<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li>A user can <strong>check whether the information<\/strong> for his or her hotel or other business provided by Google Places, Yandex Places, and other sources are correct and up-to-date.<\/li><li>A user could want to <strong>validate<\/strong> if the provided information is correct based on different knowledge sources.<\/li><li>The approach might be used <strong>to link user\u2019s KG<\/strong> with Google Places, Yandex Places, and so on.<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"tools-and-tecnology\">Tools and Technology<\/h2>\n\n\n\n<p>The <a href=\"https:\/\/github.com\/AmarTauqeer\/graph-validation\/\">Validator<\/a> was developed by three students from the <strong>University of Innsbruck<\/strong>, in the context of the Eurostars co-funded project WordLift Next Generation.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"summary\">Summary<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li>Conceptualization of <strong>a new KG Validation approach<\/strong> and a first prototypical implementation thereof.<\/li><li>Showcasing <strong>use cases<\/strong> where it can be used.<\/li><li><strong>Validating KGs ensures<\/strong> that major search engines show the correct information about your business.<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"references\">References<\/h2>\n\n\n\n<p>[Huaman et al., 2021] Huaman E., Tauqeer A., Fensel A. (2021) Towards Knowledge Graphs Validation Through Weighted Knowledge Sources. In: Villaz\u00f3n-Terrazas B., Ortiz-Rodr\u00edguez F., Tiwari S., Goyal A., Jabbar M. (eds) Knowledge Graphs and <a class=\"wl-entity-page-link\" title=\"the Semantic Web\" href=\"https:\/\/wordlift.io\/blog\/en\/entity\/semantic-web\/\" data-id=\"http:\/\/data.wordlift.io\/wl0216\/entity\/semantic_web;http:\/\/rdf.freebase.com\/ns\/m.076k0;http:\/\/yago-knowledge.org\/resource\/Semantic_Web;http:\/\/dbpedia.org\/resource\/Semantic_Web;http:\/\/no.dbpedia.org\/resource\/Semantisk_web;http:\/\/de.dbpedia.org\/resource\/Semantic_Web;http:\/\/fi.dbpedia.org\/resource\/Semanttinen_Web;http:\/\/ru.dbpedia.org\/resource\/\u0421\u0435\u043c\u0430\u043d\u0442\u0438\u0447\u0435\u0441\u043a\u0430\u044f_\u043f\u0430\u0443\u0442\u0438\u043d\u0430;http:\/\/pt.dbpedia.org\/resource\/Web_sem\u00e2ntica;http:\/\/bg.dbpedia.org\/resource\/\u0421\u0435\u043c\u0430\u043d\u0442\u0438\u0447\u043d\u0430_\u043c\u0440\u0435\u0436\u0430;http:\/\/lt.dbpedia.org\/resource\/Semantinis_tinklas;http:\/\/lv.dbpedia.org\/resource\/Semantiskais_t\u012bmeklis;http:\/\/fr.dbpedia.org\/resource\/Web_s\u00e9mantique;http:\/\/hu.dbpedia.org\/resource\/Szemantikus_web;http:\/\/uk.dbpedia.org\/resource\/\u0421\u0435\u043c\u0430\u043d\u0442\u0438\u0447\u043d\u0430_\u043f\u0430\u0432\u0443\u0442\u0438\u043d\u0430;http:\/\/id.dbpedia.org\/resource\/Web_semantik;http:\/\/ca.dbpedia.org\/resource\/Web_sem\u00e0ntic;http:\/\/sr.dbpedia.org\/resource\/\u0421\u0435\u043c\u0430\u043d\u0442\u0438\u0447\u043a\u0438_\u0432\u0435\u0431;http:\/\/sv.dbpedia.org\/resource\/Semantiska_webben;http:\/\/en.dbpedia.org\/resource\/Semantic_Web;http:\/\/is.dbpedia.org\/resource\/Merkingarvefur;http:\/\/it.dbpedia.org\/resource\/Web_semantico;http:\/\/es.dbpedia.org\/resource\/Web_sem\u00e1ntica;http:\/\/cs.dbpedia.org\/resource\/S\u00e9mantick\u00fd_web;http:\/\/pl.dbpedia.org\/resource\/Semantic_Web;http:\/\/da.dbpedia.org\/resource\/Semantisk_web;http:\/\/nl.dbpedia.org\/resource\/Semantisch_web;http:\/\/tr.dbpedia.org\/resource\/Anlamsal_a\u011f\" >Semantic Web<\/a>. KGSWC 2021. Communications in Computer and Information Science, vol 1459. Springer, Cham.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n\n","protected":false},"excerpt":{"rendered":"<p>Knowledge Graphs validation is essential. Here we show you a new approach in KG validation and a few use cases where we can use it.<\/p>\n","protected":false},"author":74,"featured_media":19868,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"wl_entities_gutenberg":"","_wlpage_enable":"","footnotes":""},"categories":[612],"tags":[],"wl_entity_type":[30],"coauthors":[],"class_list":["post-19662","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-semantic-seo","wl_entity_type-article"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Knowledge Graph Validation - WordLift Blog<\/title>\n<meta name=\"description\" content=\"Knowledge Graphs validation is essential. Here we show you a new approach in KG validation and a few use cases where we can use it.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/wordlift.io\/blog\/en\/knowledge-graph-validation\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Knowledge Graph Validation\" \/>\n<meta property=\"og:description\" content=\"Knowledge Graphs validation is essential. 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