Semantic network

A semantic network is a form of knowledge representation defined as a directed graph in which the vertices represent concepts, and the edges represent semantic relationships between the concepts. They are considered a common form of a machine-readable dictionary. Such networks involve the use of flexible semantic associations and can be useful for human reading. The concept was created for use in computers by Richard H.

Hello, I'm Alexander Rodrigues Silva, SEO specialist and author of the book "Semantic SEO: Semantic Workflow". I've worked in the digital world for over two decades, focusing on website optimization since 2009. My choices have led me to delve into the intersection between user experience and content marketing strategies, always with a focus on increasing organic traffic in the long term. My research and specialization focus on Semantic SEO, where I investigate and apply semantics and connected data to website optimization. It's a fascinating field that allows me to combine my background in advertising with library science. In my second degree, in Library and Information Science, I seek to expand my knowledge in Indexing, Classification, and Categorization of Information, seeing an intrinsic connection and great application of these concepts to SEO work. I have been researching and connecting Library Science tools (such as Domain Analysis, Controlled Vocabulary, Taxonomies, and Ontologies) with new Artificial Intelligence (AI) tools and Large-Scale Language Models (LLMs), exploring everything from Knowledge Graphs to the role of autonomous agents. In my role as an SEO consultant, I seek to bring a new perspective to optimization, integrating a long-term vision, content engineering, and the possibilities offered by artificial intelligence. For me, SEO work is a strategy that needs to be aligned with your business objectives, but it requires a deep understanding of how search engines work and an ability to understand search results.

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