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所在平台: Udemy |
课程主页: https://www.udemy.com/course/knowlege-graphs-in-theory-practice-2025/
课程评论：没有评论
**课程名称：** 知识图谱理论与实践 [2025] **课程概述：** 本课程将教授如何使用 JanusGraph、Cassandra 和 Elasticsearch 构建、管理和可视化知识图谱。您将学习如何利用图数据库的强大功能来建模和查询数据中的复杂关系，同时使用 Cassandra 作为可扩展的后端存储图数据，并利用 Elasticsearch 实现高效的全文搜索。通过动手教程和真实世界的示例，您将获得使用 JanusGraph 集成 Cassandra 和 Elasticsearch 设置和配置图数据库的实践知识。课程还将涵盖如何通过基于 Spring 的 REST API 公开您的知识图谱数据，并在 React 应用程序中无缝可视化。 **关键学习目标：** * **知识图谱入门：** 理解知识图谱的基本原理，包括如何将实体及其关系表示为图。 * **JanusGraph 与 Cassandra 的搭建：** 学习如何配置和部署 JanusGraph，并以 Cassandra 作为存储后端来处理大规模图数据。 * **图数据建模：** 学习将数据建模为图的最佳实践，包括定义顶点、边和属性。 * **使用 Spring 构建 REST API：** 了解如何通过 Spring Boot 应用程序和 RESTful API 公开您的图数据，以便前端应用程序使用。 * **在 React 中可视化知识图谱：** 学习如何使用基于 React 的前端来可视化和交互式地探索您的知识图谱及其关系。 **适合人群：** 本课程非常适合希望构建复杂的知识图谱应用程序的开发人员、数据工程师和架构师。无论您是从事推荐系统、语义搜索还是处理复杂数据关系的工作，本课程都将为您提供使用 JanusGraph、Cassandra、Elasticsearch、Spring 和 React 设计和部署基于图的解决方案的工具。 **先修要求：** * 对数据库和 Web 开发有基本了解。 * 熟悉 Java 和 Spring Boot 有帮助，但非必需。 * 建议具备 React 基础知识。 **教学大纲：** 无
This course teaches how to build, manage, and visualize a knowledge graph using JanusGraph, Cassandra, and Elasticsearch. You will learn how to leverage the power of graph databases to model and query complex relationships in your data, while also utilizing Cassandra as a scalable backend for storing graph data and Elasticsearch for efficient full-text search capabilities.Through hands-on tutorials and a real-world examples, you will gain practical knowledge of setting up and configuring a graph database using JanusGraph integrated with Cassandra and Elasticsearch. The course will also cover how to expose your knowledge graph data via a Spring-based REST API and visualize it seamlessly in a React application.Key Learning Objectives:Introduction to Knowledge Graphs: Understand the fundamentals of knowledge graphs, including how to represent entities and their relationships as a graph.Setting up JanusGraph with Cassandra: Learn how to configure and deploy JanusGraph with Cassandra as the storage backend to handle large-scale graph data.Graph Data Modeling: Learn best practices for modeling your data as a graph, including defining vertices, edges, and properties.Building a REST API with Spring: Understand how to expose your graph data through a Spring Boot application with RESTful APIs that can be consumed by front-end applications.Visualizing the Knowledge Graph in React: Learn how to visualize and interact with your knowledge graph using a React-based front-end, allowing users to explore the graph and its relationships in an intuitive way.Who Should Take This Course?This course is ideal for developers, data engineers, and architects who want to build sophisticated knowledge graph applications. Whether you're working on a recommendation system, semantic search, or complex data relationships, this course will equip you with the tools to design and deploy a graph-based solution using JanusGraph, Cassandra, Elasticsearch, Spring, and React.Prerequisites:Basic understanding of databases and web development.Familiarity with Java and Spring Boot is helpful, but not required.Basic knowledge of React is recommended.
