Knowledge Graph

Adversarial Robustness in Knowledge Graph Representation Learning

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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

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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

Research on the Construction of Knowledge Graph for Spleen and Stomach Diseases

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Research on the Construction of Knowledge Graph for Spleen and Stomach Diseases

Research Background In the era of big data and artificial intelligence, the position of literature as a core knowledge carrier has not changed. However, the current methods of literature resource management, such as information retrieval, databases, subject headings, and classification systems, cannot meet the higher-level needs of researchers. The knowledge graph is a novel mass … Read more

The Past and Present of Knowledge Graphs: Why We Need Them

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The Past and Present of Knowledge Graphs: Why We Need Them

Source｜SimmerChan (Zhihu) Editor｜Debra AI Frontline Guide: This article is mainly divided into three parts. The first part introduces why we need knowledge graphs, the second part discusses the relevant concepts of knowledge graphs and their formal representations. Finally, a brief summary is made, and the content of subsequent articles in this column will be introduced. … Read more

Knowledge Graphs for E-Commerce: Understanding User Needs

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Knowledge Graphs for E-Commerce: Understanding User Needs

AliMe Guide: This article explains the construction of knowledge graphs in the e-commerce domain from the perspective of demand analysis and systematic building, detailing the entire conceptual system formed during the process. It also emphasizes the significant efforts made by algorithm, engineering, product, operation, and outsourcing teams to gradually refine the platform architecture and review … Read more

Identifying Fraud in Internet Finance Using Knowledge Graphs

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Identifying Fraud in Internet Finance Using Knowledge Graphs

Authorized Reprint by Author Author: Li Wenzhe Excerpt from: Inclusive Big Data Center Introduction The Knowledge Graph is currently a hot research topic. Since Google launched its first version of the Knowledge Graph in 2012, it has sparked a wave of interest in both academia and industry. Major internet companies quickly launched their own Knowledge … Read more

System Engineering View of Knowledge Graph

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System Engineering View of Knowledge Graph

In October 2018, CCF published a new issue of the “China Computer Science and Technology Development Report,” detailing the research progress in ten directions, including the deep integration of AI and system software. We will share the highlights of the report in installments. Please join CCF and log in to the CCF Digital Library to … Read more

BERT’s Amazing Applications in NLP and Law

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BERT's Amazing Applications in NLP and Law

Original by Machine Heart Author: Zeng Xiangji Editor:Hao Wang At the 2019 ACM Turing Conference, Professor Zhu Songchun (UCLA) and Dr. Shen Xiangyang (Microsoft Global Executive Vice President) discussed the topic of “Path Choices in the Age of Artificial Intelligence“. Dr. Shen believes that the development of artificial intelligence will usher in a golden decade … Read more

RAG 2.0 Performance Improvement: Strategies and Practices for Optimizing Indexing and Recall Mechanisms

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RAG 2.0 Performance Improvement: Strategies and Practices for Optimizing Indexing and Recall Mechanisms

Introduction This sharing is titled “RAG 2.0 Engine Design Challenges and Implementation”. Main content includes the following parts: 1. Pain points and solutions of RAG 1.0 2. How to effectively Chunking 3. How to accurately recall 4. Advanced RAG and preprocessing 5. How RAG will develop in the future 6. Q&A Guest Speaker｜Zhang Yingfeng Founder … Read more

What Cross-Modal Scenarios Does GraphRAG Support?

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What Cross-Modal Scenarios Does GraphRAG Support?

What Cross-Modal Scenarios Does GraphRAG Support? No Small Talk, Straight to the Point GraphRAG (Graph-based Retrieval-Augmented Generation) is a framework that combines knowledge graphs and retrieval-augmented generation technology, effectively handling cross-modal scenarios and supporting various complex data types and application scenarios. Below, we will introduce the main cross-modal scenarios supported by GraphRAG. 1. Text-Image Question … Read more