Semantic

AI, Natural Language Processing, and Semantic Relationships are the Future of Search Engines

The development of technology like AI and natural language processing are a huge player in the way a search engine retrieves information. Computer algorithms interpret the words the user types and the number of web pages based on the frequency of linguistic connections in the billions of texts the system was trained on. WordNet is …

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Semantic Search: What it Means for SEO in 2017

The combination of semantics (the science of meaning in language) with search engines that process billions of queries seems a very natural one. Semantic search has been effective, too; by understanding the intent of a query and the context of the user, the accuracy of results on search engines like Google and Bing has increased …

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Five important updates to Google semantic search you might have missed

What is semantic search? Broadly speaking, it’s a term that refers to a movement towards more accurate search results by using various methods to better understand the intent and context behind a search. Or as Alexis Sanders very eloquently explained it on the Moz Blog, “The word “semantic” refers to the meaning or essence of …

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Accessibility of Semantics: How Writing Semantic HTML Can Help Accessibility

Writing HTML is about more than simply “having stuff appear on the page.” Each element you use has a meaning and conveys information to your visitors, especially to those that use assistive technologies to help interpret that meaning for them. A majority of a site’s visitors will be able to use their sight to help …

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Using Latent Semantic Indexing to boost your SEO strategy

SEO is an ever-changing, expansive science that is often hard to understand. You know that you need specific keywords to boost your website traffic, but we’re about to throw another curveball at you – latent semantic indexing (LSI). It sounds like a complicated term, but if you understand how basic SEO works you’re already halfway …

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