{"id":148671,"date":"2022-05-11T09:00:34","date_gmt":"2022-05-11T09:00:34","guid":{"rendered":"https:\/\/www.similarweb.com\/blog\/?p=148671"},"modified":"2025-07-21T10:16:57","modified_gmt":"2025-07-21T10:16:57","slug":"knowledge-graph","status":"publish","type":"post","link":"https:\/\/www.similarweb.com\/blog\/marketing\/seo\/knowledge-graph\/","title":{"rendered":"What Is Google\u2019s Knowledge Graph?"},"content":{"rendered":"<p>There is no question that semantic SEO is the future of SEO.<\/p>\n<p>The reason?<\/p>\n<p>As search engines evolve towards semantic search your <a href=\"https:\/\/www.similarweb.com\/blog\/marketing\/seo\/seo-strategy\/\">SEO strategy<\/a> should evolve with them.<\/p>\n<p>The problem is the barrier to entry is high. In other words, to do semantic SEO you must have a basic understanding of how semantic search works.<\/p>\n<p>Unfortunately, as things stand at the moment, if you do a Google search for simple easy-to-understand resources for the layman you\u2019ll find yourself scratching your head.<\/p>\n<p>To deal with that, I\u2019ve attempted to create some semantic SEO resources that anyone can understand.<\/p>\n<p>This blog post and all the others in this series represent my own quest to understand\u00a0<a href=\"https:\/\/www.similarweb.com\/blog\/marketing\/seo\/semantic-seo-strategy\/\">semantic SEO<\/a>. I have to acknowledge that this post comes mostly from information gleaned from Krisztian Balog\u2019s ebook\u00a0<a href=\"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-93935-3.pdf\">Entity Oriented Search<\/a>.<\/p>\n<p>In this post I\u2019ll be dealing with the question:<\/p>\n<h2>What Is Google\u2019s Knowledge Graph?<\/h2>\n<p>At a 30,000 ft level, Google\u2019s Knowledge Graph is a Knowledge Base of entities that are structured into a graph called a Knowledge Graph.<\/p>\n<p>In case you have no idea what that statement means, have no fear, I\u2019ll attempt to pick it apart and explain each segment one by one. I\u2019ll then attempt to piece it all back together into a coherent sentence that\u2019ll be understandable to the layman.<\/p>\n<p>I certainly consider myself a layman and that means I hope to use language that\u2019s simple to understand.<\/p>\n<p>It&#8217;s interesting to note that Google&#8217;s Knowledge Graph directly interacts with the SERPs. The most obvious place to see this is\u00a0<a href=\"https:\/\/www.similarweb.com\/blog\/marketing\/seo\/google-knowledge-panel\/\">Google&#8217;s Knowledge Panels<\/a>. Knowledge Panels are a way for the end user to interact with the entity information in the Knowledge Graph.<\/p>\n<p><img decoding=\"async\" class=\"alignnone\" src=\"https:\/\/www.similarweb.com\/blog\/wp-content\/uploads\/rank-ranger\/blog_7\/sibelius-serp.jpg\" alt=\"Knowledge panel desktop\" width=\"765\" height=\"902\" \/><\/p>\n<p>To get started in understanding Google&#8217;s Knowledge Graphs, we first need to understand why search engines are evolving toward semantic search.<br \/>\n<iframe class=\"giphy-embed\" src=\"https:\/\/giphy.com\/embed\/26n6WywJyh39n1pBu\" width=\"480\" height=\"320\" frameborder=\"0\"><\/iframe><br \/>\n<a href=\"https:\/\/giphy.com\/gifs\/looking-looney-tunes-searching-26n6WywJyh39n1pBu\">via GIPHY<\/a><\/p>\n<h2>Semantic Search<\/h2>\n<p>Simply put, a\u00a0semantic search engine\u00a0is designed to interact with people using language that a person would use.<\/p>\n<p>Why do search engines do that?<\/p>\n<p>Well, if you\u2019ve been around for a while you might remember what typing a query into a search engine was like fifteen or twenty years ago. If you recall it was highly inaccurate. You\u2019d try to figure out the right words to type into the search engine and you\u2019d then have to dig around to find the resource you were looking for.<\/p>\n<p>The reason for this is search engines at that time had no way of understanding your query. Nor could they fathom what the meaning of online content was in order to answer your query.<\/p>\n<p>Contrast that with your experience using search engines today. Have you ever noticed that Google can almost intuitively bring you content that\u2019s not only relevant to your query but can often directly answer your query in the results pages?<\/p>\n<p>So, how does Google do that?<\/p>\n<p>Natural language processing (NLP).<\/p>\n<p><a href=\"https:\/\/www.similarweb.com\/blog\/marketing\/seo\/nlp-seo\/\">Google&#8217;s Natural language processing<\/a>\u00a0is its ability to \u2018understand\u2019 and interact with natural human language.<\/p>\n<p>And\u2026<\/p>\n<p>In order to achieve natural language processing, they need machine-readable databases of information structured in a way that\u00a0<a href=\"https:\/\/en.wikipedia.org\/wiki\/Knowledge_representation_and_reasoning\">imitates how humans organize information<\/a>.<\/p>\n<p>By having the information structured in this way, search engines are able to\u00a0<a href=\"https:\/\/en.wikipedia.org\/wiki\/Question_answering\">\u2018understand\u2019 a user\u2019s query and bring relevant resources<\/a>\u00a0to answer the query by \u2018understanding\u2019 online content.<\/p>\n<p>Although machines don\u2019t actually understand language, they are able to imitate understanding.<\/p>\n<p>Now in order to organize information in a way that allows machines to do this, they need to break ideas and information up into entities.<\/p>\n<p>Okay, so what are entities?<\/p>\n<h2>What Is a Google Entity?<\/h2>\n<p>A\u00a0<a href=\"https:\/\/www.similarweb.com\/blog\/marketing\/seo\/google-entities\/\">Google entity<\/a>\u00a0is defined by Google as &#8220;A thing or concept that is singular, unique, well-defined, and distinguishable.\u201d<\/p>\n<p>Simply put search engines have databases of entities and these databases include entity information like name, type, attributes, and how entities relate to other entities.<\/p>\n<p>As I mentioned above, the reason search engines keep databases of entities is so that they can organize information into a structure that imitates the way people structure information.<\/p>\n<p>Entities are the smallest building blocks needed to organize information in this way.<\/p>\n<p>Okay, now we have a basic understanding of entities, let\u2019s move on to knowledge graphs.<\/p>\n<h2>Understanding Google\u2019s Knowledge Graph<\/h2>\n<p>Google\u2019s Knowledge Graph is made up of different component parts. The reason for this is for search engines to answer user\u2019s queries, they need to:<\/p>\n<ul>\n<li>Have a reliable source of information<\/li>\n<li>Structure that information in a way that will allow the search engine to answer queries<\/li>\n<\/ul>\n<p>This brings us to:<\/p>\n<ul>\n<li>Knowledge repositories (KR)<\/li>\n<li>Knowledge bases (KB) often referred to as knowledge graphs (KG)<\/li>\n<\/ul>\n<p>Let\u2019s delve into both.<\/p>\n<h2>Knowledge Repository (KR)<\/h2>\n<p>Knowledge repositories are sources of information that search engines use to build knowledge bases. They are catalogs of entities that arrange the entities into entity types.<\/p>\n<p>They can optionally include descriptions of the entities as well as entity properties. These knowledge repositories exist in structured or semi-structured formats.<\/p>\n<p>The perfect example of a knowledge repository is Wikipedia. Each Wikipedia article describes a specific entity, making it an entity catalog.<\/p>\n<p>What\u2019s more, each article is assigned to categories and we can view these categories as entity types.<\/p>\n<p><img decoding=\"async\" class=\"alignnone\" src=\"https:\/\/www.similarweb.com\/blog\/wp-content\/uploads\/rank-ranger\/blog_8\/wikipedia-categories.png\" alt=\"Categories examples\" width=\"1163\" height=\"77\" \/><\/p>\n<p>So in the screenshot above, you can see the categories for the entity \u2018natural language processing\u2019. As you can see natural language processing is a category of entities. What\u2019s more, it\u2019s a subcategory of computational linguistics. Computational linguistics is a subcategory of speech recognition etc.<\/p>\n<p>Wikipedia articles also show relationships between entities by adding hyperlinks between articles. They also include information about an entity\u2019s attributes and relationships.<\/p>\n<p>All of this information is in a semi-structured format.<\/p>\n<h3>Semi-Structured Knowledge Repositories<\/h3>\n<p>Semi-structured data simply refers to information that has some structure such as HTML markup including paragraphs, tables and <a href=\"https:\/\/www.similarweb.com\/blog\/marketing\/seo\/\">HTML headings<\/a>.<\/p>\n<p>Simply speaking Wikipedia is a semi-structured Knowledge Repository.<\/p>\n<h3>Structured Knowledge Repositories<\/h3>\n<p>Structured data (or relational databases) on the other hand, simply refer to data that has a predetermined structure or <a href=\"https:\/\/www.similarweb.com\/blog\/marketing\/seo\/schema-markup\/\">schema<\/a>. Structured data is typically organized into tables. This means every field specified by the schema must be given a (permitted) value.<\/p>\n<p>Once search engines have this structured or semi-structured information, it\u2019s still not ordered in a way that search engines can use it for semantic search.<\/p>\n<p>The next step is knowledge bases (or knowledge graphs).<\/p>\n<h2>Knowledge Bases or Knowledge Graphs<\/h2>\n<p>It\u2019s important to understand that for AI software to perform complex NLP tasks, such as understanding user queries, they need data to be structured in a specific way.<\/p>\n<p>In other words, structured data in table form or semi-structured data like Wikipedia blog posts do not give the AI systems what they need to process human language.<\/p>\n<p>Instead, the information needs to be structured in a similar way to how people organize information in their minds.<\/p>\n<p>To do this, Knowledge Bases have to take information from Knowledge Repositories and organize it into assertions about the world. These assertions describe entities and how they relate to one another. I\u2019ll describe this more in detail later.<\/p>\n<p>To do this, search engines need a data model called the Resource Description Framework (RDF). RDF provides a standard set of statements describing entities or resources.<\/p>\n<h2>Resource Description Format (RDF)<\/h2>\n<p>RDF is a language designed to describe entities and their relationships. It\u2019s made up of resources.<\/p>\n<p>A resource could refer to:<\/p>\n<ul>\n<li>An entity or object<\/li>\n<li>An entity type or class<\/li>\n<li>Entity relationships<\/li>\n<\/ul>\n<p>These resources are arranged into RDF statements called\u00a0<a href=\"https:\/\/en.wikipedia.org\/wiki\/Semantic_triple\">semantic triples<\/a>.<\/p>\n<p>Semantic triples are a set of three entities arranged into a statement in the form of subject-predicate-object. (Represented in graph form an RDF statement is represented by a node for the subject, an edge going from subject to object, and a node for the object.)<\/p>\n<p>The subject and predicate are represented by their own numeric identifier called a URI. The object of the statement can either be represented by a URI or could be a literal value.<\/p>\n<p>For those of you who are visual learners, here is an illustration:<br \/>\n<img decoding=\"async\" class=\"alignnone\" src=\"https:\/\/www.similarweb.com\/blog\/wp-content\/uploads\/rank-ranger\/blog_8\/subject-predicate-object.png\" alt=\"Subject predicate object\" width=\"380\" height=\"84\" \/><br \/>\nThe subject of a triple is an entity. The predicate could be an entity type or relationship. For instance, nationality, date of birth, name, etc. The object is either another entity or a value such as a string representing a name, or a number representing a date.<\/p>\n<p>So, for example, let\u2019s look at the first sentence in the Wikipedia article about Mike Tyson:<\/p>\n<p>Michael Gerard Tyson\u00a0(born June 30, 1966) is an American former professional boxer who competed from 1985 to 2005.<\/p>\n<p>Let\u2019s break that down visually.<br \/>\n<img decoding=\"async\" class=\"alignnone\" src=\"https:\/\/www.similarweb.com\/blog\/wp-content\/uploads\/rank-ranger\/blog_8\/mike-tyson-birth-date.png\" alt=\"Mike Tyson birth date\" width=\"459\" height=\"71\" \/><br \/>\nIn the illustration above, I\u2019ve represented the first phrase as a triple.<\/p>\n<p>The subject is the entity \u2018Mike Tyson\u2019, the predicate is \u2018birth date\u2019 and \u20181966-06-30\u2019 is the object. I\u2019ve put a rectangle around Mike Tyson to represent that Mike Tyson is an entity. 1966-06-30 on the other hand is not an entity but rather a value so I\u2019ve included it in inverted commas.<\/p>\n<p>Here is a visual representation of the entire sentence:<br \/>\n<img decoding=\"async\" class=\"alignnone\" src=\"https:\/\/www.similarweb.com\/blog\/wp-content\/uploads\/rank-ranger\/blog_8\/mike-tyson-triples.png\" alt=\"Mike Tyson details\" width=\"748\" height=\"312\" \/><br \/>\nTaking this further, any entity that exists in the example above can be seen as the subject in a different set of triples, resulting in a large intricate network of entities and relationships.<\/p>\n<p><iframe class=\"giphy-embed\" src=\"https:\/\/giphy.com\/embed\/ITRemFlr5tS39AzQUL\" width=\"480\" height=\"480\" frameborder=\"0\"><\/iframe><br \/>\n<a href=\"https:\/\/giphy.com\/gifs\/network-technologies-connectivity-ITRemFlr5tS39AzQUL\">via GIPHY<\/a><\/p>\n<h2>The (Far From) Final Word About Knowledge Graphs<\/h2>\n<p>You should now have a basic understanding of what a knowledge graph is. What\u2019s more, you should have a layman\u2019s understanding of the information stored in knowledge graphs and you should also understand where it comes from.<\/p>\n<p>Although there are no actionable strategies in this post, I do feel this knowledge is a basic foundation in understanding semantic SEO that will help you further down the path to SEO stardom.<\/p>\n<p>And understanding leads to actionable insights.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>There is no question that semantic SEO is the future of SEO. The reason? As search engines evolve towards semantic search your SEO strategy should evolve with them. The problem is the barrier to entry is high. In other words, to do semantic SEO you must have a basic understanding of how semantic search works. [&hellip;]<\/p>\n","protected":false},"author":499,"featured_media":151160,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[2803,6345],"tags":[],"class_list":["post-148671","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-marketing","category-seo"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What is Google&#039;s Knowledge Graph? | Similarweb<\/title>\n<meta name=\"description\" content=\"The future of SEO is semantic. To do semantic SEO you must understand how semantic search works. In this post, discover what a knowledge graph is.\" \/>\n<meta name=\"robots\" content=\"max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.similarweb.com\/blog\/marketing\/seo\/knowledge-graph\/\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Darrell Mordecai\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"10 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.similarweb.com\/blog\/marketing\/seo\/knowledge-graph\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.similarweb.com\/blog\/marketing\/seo\/knowledge-graph\/\"},\"author\":{\"name\":\"Darrell Mordecai\",\"@id\":\"https:\/\/www.similarweb.com\/blog\/#\/schema\/person\/645f1730e736ea84615ff69fc556fbbc\"},\"headline\":\"What Is Google\u2019s Knowledge Graph?\",\"datePublished\":\"2022-05-11T09:00:34+00:00\",\"dateModified\":\"2025-07-21T10:16:57+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.similarweb.com\/blog\/marketing\/seo\/knowledge-graph\/\"},\"wordCount\":1636,\"publisher\":{\"@id\":\"https:\/\/www.similarweb.com\/blog\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.similarweb.com\/blog\/marketing\/seo\/knowledge-graph\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.similarweb.com\/blog\/wp-content\/uploads\/2022\/05\/what-is-googles-knowledge-graph.jpg\",\"articleSection\":[\"Marketing\",\"SEO\"],\"inLanguage\":\"\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.similarweb.com\/blog\/marketing\/seo\/knowledge-graph\/\",\"url\":\"https:\/\/www.similarweb.com\/blog\/marketing\/seo\/knowledge-graph\/\",\"name\":\"What is Google's Knowledge Graph? | Similarweb\",\"isPartOf\":{\"@id\":\"https:\/\/www.similarweb.com\/blog\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.similarweb.com\/blog\/marketing\/seo\/knowledge-graph\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.similarweb.com\/blog\/marketing\/seo\/knowledge-graph\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.similarweb.com\/blog\/wp-content\/uploads\/2022\/05\/what-is-googles-knowledge-graph.jpg\",\"datePublished\":\"2022-05-11T09:00:34+00:00\",\"dateModified\":\"2025-07-21T10:16:57+00:00\",\"description\":\"The future of SEO is semantic. 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