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
1. Introduction to Knowledge Graphs A knowledge graph is a large-scale semantic network, a semantic representation of the real world. Entities are represented as nodes, and the attributes of entities and relationships between entities are represented as edges, forming a web-like graph structure. This structured format is human-readable and machine-friendly, facilitating machine understanding. The large-scale … Read more
1. What is a Knowledge Graph The knowledge graph (Knowledge Graph), also known as knowledge domain visualization or knowledge domain mapping, is a series of various graphics that display the process and structural relationships of knowledge development. It uses visualization technology to describe knowledge resources and their carriers, mining, analyzing, constructing, drawing, and displaying knowledge … Read more
With the rapid development of information technology, knowledge graphs, as an emerging knowledge management and teaching assistance tool, are playing an increasingly important role in higher education. This article aims to explore the role of knowledge graphs and how they assist university teachers in instructional design, summarizing some methods for digital course construction based on … Read more