Thoughts on Building Target Maps

Thoughts on Building Target Maps

On the Chaoxing and Zhihuishu course platforms, there are application sections based on the OBE concept for knowledge graphs. Chaoxing refers to it as the target map, while Zhihuishu calls it OBE teaching management. Both are forms of application that measure, evaluate, and provide feedback on the achievement of course objectives under the guidance of … Read more

Outstanding Cases of Knowledge Graphs

Outstanding Cases of Knowledge Graphs

Professor Dong Lili, Dean of the School of Architecture and Urban Planning at Chongqing Jiaotong University, National Level Registered Architect, and National Model Teacher for Ideological and Political Education in Courses;Vice Chairman of the Humanities Quality Education Guidance Committee for Ordinary Undergraduate Colleges in Chongqing, Member of the Teaching Guidance Committee for Civil Engineering and … Read more

Construction and Application of Professional Knowledge Graph

Construction and Application of Professional Knowledge Graph

Click the above“Little Director” to follow the WeChat public account “Construction and Application of Professional Knowledge Graph” Speaker: Ruan Xin Vice President of Tongji University Current Teaching Issues 1Current teaching issues: rapid industry transformation poses challenges for talent training 2“Internet+” background learning model Students have very strong self-learning abilities, learning time is highly fragmented and … Read more

Application of Knowledge Graph in Intelligent Education

Application of Knowledge Graph in Intelligent Education

1. Introduction to Knowledge Graph A knowledge graph is a large-scale semantic network that provides a semantic representation of the real world. Entities are represented as nodes, while the properties of entities and the relationships between them are represented as edges, forming a web-like graph structure. This structured format is recognizable by humans and machine-friendly, … Read more

Where Do Knowledge Graphs Come From: The Current Status and Future of Entity Relationship Extraction

Where Do Knowledge Graphs Come From: The Current Status and Future of Entity Relationship Extraction

Machine Heart Reprint Authors:Han Xu, Gao Tianyu, Liu Zhiyuan This article is written by Professor Liu Zhiyuan from Tsinghua University and his students Han Xu and Gao Tianyu, introducing the topic of knowledge graphs. The article reviews the development of the knowledge graph field and summarizes recent research progress. It has been authorized for reprint … Read more

How Alibaba Engineers Overcome Challenges in Knowledge Graph Data Construction

How Alibaba Engineers Overcome Challenges in Knowledge Graph Data Construction

Introduction by Alibaba Mei: When you search for “tomato”, you can not only learn about its nutritional benefits and calories, but also pick up a recipe for beef stew or scrambled eggs! When did search engines become so accommodating? Behind this is the powerful secret weapon known as the “Knowledge Graph”. As a hot topic … Read more

Where Do Knowledge Graphs Come From: The Current Status and Future of Entity Relation Extraction

Where Do Knowledge Graphs Come From: The Current Status and Future of Entity Relation Extraction

Produced by Big Data Digest Source:Zhihu (zibuyu9) Authors:Han Xu, Gao Tianyu, Liu Zhiyuan In recent years, the wave of artificial intelligence triggered by deep learning has swept the globe, rapidly enhancing computational resources under the dual support of massive data resources brought by the popularization of the Internet and the Moore’s Law. Deep learning has … Read more

A Decade of Research Progress on Knowledge Graphs in NLP

A Decade of Research Progress on Knowledge Graphs in NLP

With the development of artificial intelligence research, knowledge graphs (KGs) have attracted wide attention from both academia and industry. As a representation of semantic relationships between entities, knowledge graphs play an important role in natural language processing (NLP) and have seen rapid promotion and widespread adoption in recent years. Given the increasing workload of research … Read more

Adversarial Robustness in Knowledge Graph Representation Learning

Adversarial Robustness in Knowledge Graph Representation Learning

Knowledge graphs represent factual knowledge about the world through relationships between concepts, which are crucial for intelligent decision-making in enterprise applications. By encoding concepts and relationships as low-dimensional feature vectors, new knowledge can be inferred from existing facts in the knowledge graph. The most effective representation method for this task is called Knowledge Graph Embedding … Read more

Application of Knowledge Graph in Meituan’s Search for Hotel and Travel Scenarios

Application of Knowledge Graph in Meituan's Search for Hotel and Travel Scenarios

Guest Speaker: Chen Qi, Senior Algorithm Expert at Meituan Editor: Mao Jiahao, Ping An Insurance Zhejiang Branch (Intern) Produced by: DataFunTalk Introduction:The knowledge graph shines in various industries due to its ability to describe knowledge and the relationships between everything in the world using graph models. Meanwhile, knowledge graph technology also brings new challenges and … Read more