AI Agent 
01 The Core Driver of Artificial Intelligence: Knowledge Graphs The scale and speed of data and information generation today make it difficult for organizations to effectively extract valuable insights frommassive information and diverse sources. We rely on Google, Amazon, Alexa, and other chatbots because they help us find information and take action in ways that … Read more
1 Introduction to the Algorithm The Knowledge Graph is an important branch of artificial intelligence technology, proposed by Google in 2012. It is a structured semantic knowledge base used to describe concepts in the physical world and their interrelationships in symbolic form. Its basic unit consists of “entity-relation-entity” triples, as well as entity and its … Read more
The Knowledge Graph is an important branch of artificial intelligence. It was proposed by Google in 2012 and has become a killer application for building large-scale knowledge, playing a crucial role in areas such as search, natural language processing, intelligent assistants, and e-commerce. The Knowledge Graph, along with big data and deep learning, has become … Read more
We live in an era of information explosion, where new data is generated constantly. Crude oil is refined into gasoline, diesel, and chemical products, which are higher-value commodities. Similarly, data is refined and processed into information, knowledge, and wisdom to unleash greater value. So how do we extract value from data? The DIKW (Data, Information, … Read more
↑Click “Shanghai Financial Information Industry Association” to follow us From the early days of Google search to today’s chatbots, big data risk control, securities investment, smart healthcare, adaptive education, and recommendation systems, all are related to knowledge graphs. Its popularity in the technical field has also been increasing year by year. This article explains the … Read more
Knowledge graphs have many applications, such as intelligent search, question-answering systems, recommendation systems, and information extraction. They can help people better organize and utilize vast amounts of knowledge, providing smarter and more personalized services. The concept of knowledge graphs originated in the field of artificial intelligence and is a technique used to represent and organize … Read more
Highly Recommended: Application of Knowledge Graphs and AI Large Language Models in the New Form of Digital Teaching for University Teachers The process of constructing a knowledge graph is a continuous iterative process that combines human and machine, primarily driven by machine learning, along with expert definitions and corrections. The tasks requiring human intervention include … Read more
Content Guide Read Before, I had training on knowledge graph products, and I found it relatively easy to get started. So today, I asked a colleague to write a step-by-step tutorial. Software Used: GeoScene Pro 4.0 (requires Knowledge authorization) This article will popularize the basic concepts and principles of knowledge graph technology while briefly introducing … Read more
Article Promotion The Importance of Knowledge Graphs in Natural Language Processing Author Affiliation: Feng Zhiwei, Research Center for Russian Language, Literature and Culture, Heilongjiang University / Hangzhou Normal University Abstract: The term “knowledge graph” first appeared in literature in 1972. In May 2012, Google explicitly proposed the concept of a knowledge graph and constructed a … Read more
This is the 907th article shared by ITC of Wenzhou Medical University Smart Teaching Tools Introduction to Knowledge Graphs Diverse Data Fusion Structured Representation Dynamic Development Preface Knowledge Graph, as an important branch in the field of artificial intelligence, provides strong support for solving the problem of how to effectively organize, store, and retrieve information … Read more