新开一个搬运贴，是斯坦福CS520研究生课程知识图谱的Note翻译，和大家一起分享学习~
Data Models, Knowledge Acquisition, Inference and Applications
Department of Computer Science, Stanford University, Spring 2021
数据模型、知识抽取、推理与应用
斯坦福大学计算机科学系，Spring 2021
Course Info
Knowledge graphs have emerged as a compelling abstraction for organizing world's structured knowledge over the internet, capturing relationships among key entities of interest to enterprises, and a way to integrate information extracted from multiple data sources. Knowledge graphs have also started to play a central role in machine learning and natural language processing as a method to incorporate world knowledge, as a target knowledge representation for extracted knowledge, and for explaining what is being learned. This class is a graduate level research seminar and will include lectures on knowledge graph topics (e.g., data models, creation, inference, access) and invited lectures from prominent researchers and industry practitioners. The seminar emphasizes synthesis of AI, database systems and HCI in creating integrated intelligent systems centered around knowledge graphs.
知识图谱已经成为在互联网上组织世界结构化知识、获取企业感兴趣的关键实体之间关系以及整合从多个数据源中提取的信息的有力工具。知识图谱也开始在机器学习和自然语言处理中发挥核心作用，作为一种方法，纳入世界知识，作为提取知识的目标知识表示，并解释正在学习的内容。本班是研究生层次的研究研讨会，将包括知识图专题(如数据模型、创建、推理、获取)的讲座，并邀请知名研究者和行业从业者的讲座。研讨会强调在创建以知识图为中心的集成智能系统时，综合AI、数据库系统和HCI。