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Before and After Applying Semantic Schema Markups
Before and After Applying Semantic Schema Markups
Entity-based SEO is a method used by search engines to deliver the most relevant and accurate results to users by understanding the context and intent behind their searches. While machines can process phrases literally, they may not always grasp the nuances of language that humans do.

Its important to note that knowledge graphs and semantic quality are key concepts for semantic-based SEO because they help search engines understand the relationships between different entities and the meaning and context of a website's content. This can lead to improved search rankings, more accurate and useful search results, and a better search experience for users.

In this case study, I am going to demonstrate how entity-based SEO takes into account the relationships between entities and the context in which they are used to provide more meaningful search results.

This semantic SEO study is going to cover the followings:

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How to Optimize Your Structured Data for SEO and Semantic SEO

This Article is written in honor of Bill Slawski, one of the greatest SEOs of all times; where his career started before the word SEO became a thing and before Google existed. Bill was a specialist in semantic SEO and google patents. Bill was a mentor for me and thousands of SEO enthusiasts worldwide.

Bill and I were working on this Article until the last days of his life. This Article contains Bill’s final SEO advice before he passed away.

While this article talks about how to implement semantic SEO and semantic quality for structured data, Bill demonstrates his profound semantic SEO technique with the sheer genius of writing the content in a way that translates into structured data using triples. To learn how that can be done, let's go back to the basic building block. The (thing).

The word 'real' is derived from the Latin word res, which is often translated as 'thing'. The word 'thing' is often used without a presupposed meaning, not needing an explicit philosophical definition because it belongs to ordinary language. Nevertheless, what is a thing? How to define it? And the question of how things are related? These three questions are the main concerns of semantic SEO.

Semantic SEO is the science of describing the types of entities in the world and how they are related. One way to do that is to define a vocabulary for things and the contextual relation between them, the vocabulary that today makes Semantic SEO possible is called Schema.org.

Schema.org is not the only vocabulary for Semantic Web, but it's the one maintained and supported by Google, Bing, Yahoo and Yandex. However, it's important to note that structured data is not the only method to optimize for semantic Web, but it's one of the effective methods if you have good content.

Suppose your website contains a large amount of content. In that case, structured data can help describe, categorize and connect your content together in a way that helps search engines have a better understanding.

Many people know how to create and install structured data, but not so many know how to optimize structured data for Semantic Web. In this article, we are going to explain the followings:

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