{"id":3778,"date":"2021-03-05T10:59:17","date_gmt":"2021-03-05T10:59:17","guid":{"rendered":"https:\/\/demo.wordlift.it\/io\/?p=3778"},"modified":"2021-03-05T10:59:20","modified_gmt":"2021-03-05T10:59:20","slug":"test-8","status":"publish","type":"post","link":"https:\/\/demo.wordlift.it\/io\/test-8\/","title":{"rendered":"Test"},"content":{"rendered":"\n\n\n

Semantic SEO<\/em> is a marketing technique to improve the traffic of a website <\/strong>by providing search engines with metadata<\/strong> and semantically relevant content<\/strong> that can unambiguously answer a specific search intent.<\/h4>\n\n\n\n

In 2011 as Google and other search engines began moving towards Artificial Intelligence<\/a> and natural language processing<\/a> to understand the searcher\u2019s intent and the meaning of a query they started to work with entities and concepts rather than parsing questions and web pages using keywords.<\/p>\n\n\n\n

As search engines<\/strong> got smarter and they started to dive into the real meaning of words<\/strong>, content owners<\/strong> have begun to move from creating web pages to describing these web pages<\/strong> using linked open data and semantic web technologies. This has become possible with the creation of the schema.org vocabulary<\/strong>, an initiative launched in 2011 by the world\u2019s biggest search engines (Bing, Google and Yahoo!) to implement a common data schema structure to describe web pages. On 1 November 2011 Russian largest search engine Yandex also joined the community.\"An<\/p>\n\n\n\n

An overview of the schema.org vocabulary<\/em><\/p>\n\n\n\n

Why Semantic SEO?<\/strong><\/h2>\n\n\n\n

In a nutshell, search engines need context to understand a query properly and to fetch relevant results<\/strong> for it. Contexts are built using words, expressions, and other combinations of words and links as they appear in bodies of knowledge such as encyclopedias and large corpora<\/em> of text.<\/p>\n\n\n\n

Semantic SEO is a marketing technique that improves the traffic of a website by providing meaningful metadata and semantically relevant content that can unambiguously answer a specific search intent<\/strong>. It is also a way to create clusters of content that are semantically grouped into topics rather than keywords. In a famous Google patent on context-vectors<\/a>, an example with the word \u201chorse\u201d is provided. Same word but with different meanings in different contexts: a \u201chorse\u201d is an animal for an equestrian, a working tool for a carpenter, and a sport equipment for a gymnast. In Semantic SEO, much like Wikipedia<\/a> does, content is cataloged and organized around each context in such a way that machines can understand and value its uniqueness.<\/p>\n","protected":false},"excerpt":{"rendered":"

Semantic SEO is a marketing technique to improve the traffic of a website by providing search engines with metadata and semantically relevant content that can unambiguously answer a specific search intent. In 2011 as Google and other search engines began moving towards Artificial Intelligence and natural language processing to understand the searcher\u2019s intent and the meaning of a query they started to work with entities and concepts […]<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"wl_entities_gutenberg":"","_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[1],"tags":[],"wl_entity_type":[11],"yoast_head":"\nTest - wordlift demo site<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Test - wordlift demo site\" \/>\n<meta property=\"og:description\" content=\"Semantic SEO is a marketing technique to improve the traffic of a website by providing search engines with metadata and semantically relevant content that can unambiguously answer a specific search intent. 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