|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/semanticweb/
课程评论：没有评论
课程名称：掌握语义网：从RDF到知识图谱 课程概述： 欢迎参加全面掌握语义网技术栈的最终课程——涵盖RDF、SPARQL、RDFS、OWL、SHACL等，并通过Python、RDFlib、OWLReady2和Protégé等工具进行实践项目。如果您曾想深入了解链接数据、Ontology或知识图谱，但不知道从哪里开始，这门课程将为您提供完整的指导。 在课程中，您将学习如何使用强大的语义网技术对结构化数据进行建模、查询、验证和推理。这些技术被谷歌、微软、IBM等公司广泛采用，并且在维基百科中也得到了应用。掌握这些技术后，您将能够创建可以作为符号人工智能并融入其他AI系统的知识图谱。 无论您是开发者、数据科学家、研究人员，还是对人工智能的未来充满好奇，这些技能都将提升您的技术能力。这门课程内容丰富，包含最前沿的知识和实践示例，包括： - 使用RDF建立图形中的数据结构 - 利用SPARQL查询知识图谱 - 使用RDFS和OWL构建自动推理的表达性本体 - 运用SHACL验证RDF图，确保数据一致性 - 开发基于Python的应用程序，利用RDFlib或OWLReady2等本体框架 - 在Protégé中进行本体建模 - 在GraphDB等三元组存储中管理您的知识图谱 您还将参与实际项目，应用本体生命周期最佳实践，从需求收集到发布。这门课程将为您成为专业的本体工程师或知识工程师奠定坚实的基础。
Welcome to the ultimate course on mastering the Semantic Web Stack - including RDF, SPARQL, RDFS, OWL, SHACL, and more - with hands-on projects using Python, RDFlib, OWLReady2, and Protégé.If you've ever wanted to dive into the world of Linked Data, Ontologies, or Knowledge Graphs but didn't know where to start this course is your complete guide.You'll learn how to model, query, validate, and reason with structured data using powerful Semantic Web technologies. This Tech is used by companies like Google, Microsoft, IBM and in Wikipedia. With these technologies you are capable of creating knowledge graphs that work as symbolic AI and can be part of other AI systems.Whether you're a developer, data scientist, researcher, or just curious about the future of AI: these skills will take your technical profile to the next level.This course is packed with state-of-the-art knowledge and hands-on examples, including:RDF for structuring data in graphsSPARQL for querying knowledge graphsRDFS and OWL for building expressive ontologies that reason automatically for implicit informationSHACL for validating RDF graphs and providing data consistencyDevelopment of Python-based apps that are fueled by ontology frameworks like RDFlib or OWLReady2Ontology modeling in ProtégéManaging your knowledge graphs in the web on triplestores like GraphDBYou'll also work on practical projects applying best practices in the Ontology Lifecycle - from requirements gathering to publication. This course will give you a solid foundation to become a professional Ontologist / Knowledge Engineer.
