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
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
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
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 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
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
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
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
Course Swift for TensorFlow Swift for TensorFlow combines the flexibility of Eager Execution with the high performance of graphs and sessions. Swift can analyze your Tensor code in the background and automatically build graphs. It also captures type errors and shape mismatches before running the code, allows input from any Python library, and features language-integrated … Read more
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