Knowledge Graph

A knowledge graph, or Knowledge Graph in English, is a knowledge base of the Google search system that aims to improve the results of its search tool with semantic search information.

With a graph, the model created to handle data can be as large, complex, and deep as you need it to be, because it deals with connections between complete and high-quality data, allowing the use of sparse and incomplete data, making them usable.

The extensive use of knowledge graphs allows questions asked by all types of users to be mapped onto an organized set of information that can provide the answers we want.

In summary, knowledge graphs use semantic patterns to describe the structure of information to support reasoning and inferences.
See related content on semantics.

Terms related to semantics

ABCDEFGHIJKLMNOPQRSTUVWXYZ#

THE

AEO Search Algorithm

W

Semantic field, Science, Coding, Computer, Knowledge, Context

D

DataStructured dataDomain

AND

EconomicsEntity (information technology)Structure

G

Google Knowledge Graph Googlebot Knowledge Graph

I

InformationArtificial intelligenceInternet

L

Markup language

M

Structured markup, Marketing, Search engine

N

Business

THE

Ontology (Computer Science) Optimization Optimization for Response Mechanisms Optimization for Search Engines OWL

P

Product Research (marketing)

R

Resource Description Framework

S

SemanticsSemioticsSEO SEMANTICSSignal (semiotics)About Semantics

T

Taxonomy, Technology, Graph Theory, Tim Berners-Lee

W

Web 2.0Semantic WebWorld Wide Web

Alexander Rodrigues Silva

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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