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What is the Semantic Web? The notion of semantic web refers to a vision of the web in which computers would be able to analyze all data and their relationships. It was Tim Berners-Lee who theorized the concept in 1999 in his book Weaving the Web. The objective of the semantic web is to allow optimal exploration of web pages both by Internet users and by the machine. In other words, facilitate data mining to provide more qualitative information more quickly. Recent developments in the web (machine learning, semantic SEO, etc.) and the Google algorithm are moving in this direction. Indeed, search engines are now able to collect and analyze increasingly large and complex data.
The understanding of natural language has been refined, as evidenced by the recent update from Google: BERT. Yet, in some respects, the Semantic Web remains an ideal. The understanding of data by search engines is still very perfectible. The good news is that we can help Google understand our content better. How ? By adding structured data to our web Italy Phone Number pages. New call-to-action Structured data, what is it? Structured data is lines of code in a specific format: Schema.org. They are presented in such a way that search engines easily understand them. Search engines like Google can read and use this code to display your pages in the SERPs in a more specific and rich way.

How does structured data meet the requirements of the semantic web? Remember. The goal of the semantic web is to automate and optimize the collection and analysis of data. However, search engines daily retrieve huge volumes of data that feed the index. The problem is that when you have so much data to process, it is not always easy to put it in the right boxes, especially when it is unstructured data. It's a bit like tidying up your desk. We often find ourselves with documents that we stuff in a drawer because we do not know in which folder they should go. Structured data allows Google to better interpret data by assigning it to the correct category. For example, this data allows the search engine to recognize an address, a customer review, the ingredients of a recipe, etc.
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