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所在平台: Udemy |
课程主页: https://www.udemy.com/course/practical-rdf-and-sparql/
课程评论：没有评论
课程名称：实用RDF与SPARQL 课程概述：RDF（资源描述框架）为我们提供了将数据连接成符合W3C标准的图形模型，而SPARQL则使我们能够查询信息，以回答商业问题。在成为熟练掌握这项技术以便在“个人项目”和概念验证之外应用它的过程中，还有很多内容需要掌握，特别是在充分利用RDF的各个方面，通过多个图形编织信息和管理这些图形。本课程旨在帮助您在基础了解RDF和SPARQL的基础上，深入学习中级到高级的概念和功能。 课程内容包括使用RDF模式（RDFS）以声明性编码图形模式（本体）结构。本课程将帮助您成为一名更有能力的图数据工作者，熟练开发和查询基于语义网的知识图谱。您将处理更大规模的数据集，执行涉及数学和字符串操作的SPARQL查询，定制结果输出。此外，您还将学习如何利用SPARQL Update的真正威力生成模式（借助RDFS）、进行图管理，包括实体重构等有用任务。 您还将学习如何创建和高效查询如RDF容器和集合等结构，并使用SPARQL进行联邦查询，以调查分布式数据源，从而获得更丰富的分析和进行知识图谱的丰富。如果您对技术充满热情，喜欢基于语义网的知识图谱技术，并希望技能跃升，这门课程绝对不容错过！
RDF provides us with the graph model to connect data into W3C-compliant graphs and SPARQL enables us to query the information to answer business questions. In the journey to becoming proficient with the technology in order to utilise it beyond the boundaries of 'pet projects' and proofs of concept, there is a lot more to get to grips with in terms of using the full breadth of RDF for weaving information into multiple graphs and managing these graphs.This course is intended to help you build on top of your foundational understanding of RDF and SPARQL and get hands-on with intermediate to advanced level concepts and features of RDF and SPARQL. This also requires working with RDF Schema (RDFS) in order to declaratively encode graph schema (ontology) structures.Therefore, this course will help you achieve your next milestone as a graph data worker who needs to become much more adept at developing and querying Semantic Web-based knowledge graphs. In this course, you'll be working with more extensive datasets and issuing SPARQL queries involving mathematical and string operations and customising result outputs. You'll also harness the true power of SPARQL Update for schema generation (aided with RDFS), graph management, including useful tasks like entity refactoring.You'll also learn how to author and efficiently query structures like RDF Containers and Collections and issue SPARQL federated queries to interrogate distributed data sources to gain richer analytics and perform knowledge graph enrichment.Overall, if you love techy stuff, are a big fan of Semantic Web-based knowledge graph technologies and want to gain a step-change in your skillset, then this is one course not to miss out on!
