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所在平台: Udemy |
课程主页: https://www.udemy.com/course/knowledge-graph-solutions-using-neo4j/
课程评论：没有评论
课程名称：使用Neo4j构建知识图谱解决方案 课程概述：本课程是知识图谱系列的第四门课程，旨在帮助学员使用Neo4j构建知识图谱解决方案。早期的课程主要关注知识图谱的应用案例和图形解决方案相关的各种分析，同时定义了知识图谱成熟度的不同层级。本课程专为中级学员设计，帮助您策划知识图谱的使用案例，并为您的知识图谱项目构建或原型化一个案例。 课程内容包括： 1. 如何定义知识图谱使用案例 2. 如何使用Neo4j设置Sandbox环境以支持您的知识图谱使用案例 3. 如何使用Cypher查询语言开发和执行图形查询 4. 如何原型化图形分析体验，并通过课堂作业记录您对知识图谱洞察的理解 5. 如何使用Neo4j及外部库提供的各种数据科学库扩展您的知识图谱解决方案 您将接触Neo4j和知识图谱的许多高级特性，包括Bloom可视化工具、图数据科学库、使用neosemantics导入本体以及通过Python与数据科学包的集成。同时，您将学习如何将图形解决方案与其他解决方案组件连接。 完成课程后，您将有机会获得持续专业教育（CPE）学分和结业证书！
" Build Knowledge Graph solutions using Neo4j" is our 4th course in Knowledge Graph series. Earlier courses were designed to provide benefit case and designing various analytics associated with Graph solutions. We had also defined various level of knowledge Graph maturity levels.This course is designed to help you strategize knowledge graph use cases and help you build or prototype a use case for your knowledge graph engagement. This is an intermediate level course, specifically designed to teach you how to build Knowledge Graph solutions using Neo4j.This course includesHow to define Knowledge Graph Use CaseHow to set up Sandbox using Neo4j for your Knowledge Graph use caseHow to develop and execute graph queries using Cypher query languageHow to prototype a graph analytics experience and document your understanding on Knowledge Graph Insights using a class assignmentHow to extend your knowledge graph solutions using various data science libraries provided by Neo4j as well as external librariesYou will be introduced to many advanced features of Neo4j and Knowledge Graph including Bloom Visualization Tool, Graph data science libraries, Importing ontologies using neosemantics and integration with data science packages using Python.You will learn how to connect your graph solution with other solution components using PythonAnd finally, you can earn CPE credits and completion certificate!
