Semantic Modeling for Semantic SEO Written by Ashraf on Jan. 7, 2023 in Semantic SEO. Last update on Jan. 29, 2023. Don't forget to share this post Semantic Modelling for SEO SEO Guide to Building a Semantic Model for Your Website Semantic data modeling is a semantic SEO technique for describing and representing data in a way that is clear, accurate, and easily understood by both humans and search engines. This includes using techniques such as establishing a semantic model quality, building linked schemas, controlled vocabularies, taxonomies, ontologies, knowledge graphs, E-R models, property graphs and other data representation models. To do that here are some steps you can follow to build an SEO-based semantic model for your website: Identify the main topics and categories of your website. Create a hierarchical structure for your website. Define the primary entity on each page. Use clear and descriptive headings, titles, and labels to identify the content on each page. Use semantic HTML tags, to give context to the content on your pages. Use Relational Structured Data. Test and iterate on your semantic model as needed. Further reading :Topical Mapping and Interlinking Conclusion. Continue reading
Entity Based SEO - Case Study Written by Ashraf on Dec. 22, 2022 in SEO Case Studies. Last update on Jan. 30, 2023. Don't forget to share this post 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: What is an entity?What is entity based SEO?What is the difference between SEO and entity-based SEO?What are entity types?Can an entity have more than one type?What are entity properties?Do I have to mark up all entities on the page?What are the important properties needed for interlinking in entity based SEO?How do you optimize your content for semantic SEO?What are semantic schema markups?Case Study: Semantic SEO Improves Search Engine Rankings and User Experience Continue reading
How to Optimize Your Structured Data for SEO and Semantic SEO Written by Ashraf on May 22, 2022 in Structured Data. Last update on Jan. 30, 2023. Don't forget to share this post 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: What is data? What is Unstructured data? What is structured data? What is the purpose of structured data? Why is structured data important for SEO? What is Semantic SEO? What are the recommended semantic SEO tools? what are Semantic triples: and how schema markups work? How to use semantic triples to write content that translate easily to structured data? How to optimize schema markups for SEO? How to optimize structured data for semantic SEO? Conclusion Let's Start Continue reading