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所在平台: Udemy |
课程主页: https://www.udemy.com/course/rdf-and-sparql-essentials/
课程评论：没有评论
课程名称：RDF与SPARQL基础 课程概述： 您是否想亲身体验数据表示和数据架构的热潮？渴望了解各行业如IT、制造业、大众媒体、金融服务、制药等如何打破数据孤岛，构建自描述的数据集，从而推动下一代人工智能和分析技术？那么您来对地方了！本课程将介绍资源描述框架（RDF）及其查询语言SPARQL，这两个构建知识图谱的语义网基础层。知识图谱是一种丰富描述并以网络形式显式链接的数据集。RDF提供了一种简单的数据模型，用于捕捉这些复杂网络，而SPARQL则是用于查询以RDF格式表达的知识图谱的语言。 在信息时代，虽然关系数据库（如SQL）仍然存在并将继续存在多年，但组织们快速意识到，它们的数据集需要在数据价值链中高效地整合。这要求我们将数据捕获并描述为网络，构建出数据资源的综合图景，以更智能、直观和大规模地回答关键业务问题。 在本课程中，您将从实践角度学习如何使用RDF和SPARQL。我们将亲自动手编写RDF图，使用Turtle和TriG格式——这些都是人类友好的文本格式。课程将深入探讨SPARQL的应用，并通过大量有用的例子和问题进行详细讲解与解决。 本课程适合关注数据表示、数据架构和数据工程的学习者。
Want to get hands-on with the hottest trends in data representation and data architecture? Want to learn the building blocks of how organisations across various sectors like IT, Manufacturing, Mass Media, Financial Services, Pharmaceutical and many more, are tearing down data silos to build self-descriptive datasets and drive next-level AI and analytics?You've landed at the right spot! This course is about the Resource Description Framework or RDF for short, and SPARQL, which are two fundamental layers of the Semantic Web Stack for building knowledge graphs. Knowledge graphs are essentially datasets that are richly described and explicitly linked as networks. RDF is a simple data model for capturing these rich networks, and SPARQL is the query language for interrogating knowledge graphs that are expressed in RDF format.While we are in the Information Age and technologies like relational databases (e.g. SQL) are old but not obsolete, and surely here to stay for many more years to come, organisations are quickly realising that their datasets need to be weaved together efficiently within the data value stream. This requires us to capture and describe data as networks and building a consolidated picture of our data resources, enabling us to answer key business questions more smartly, intuitively and at scale.In this course, you'll learn how to work with RDF and SPARQL from a practical perspective. We're going to roll up our sleeves and dive into authoring RDF graphs in the Turtle and TriG formats, which are common human-friendly text formats for writing RDF data. We're going spend a great deal of time working with SPARQL and there will be loads of useful examples and problems we'll go through and solve along the way.This course is for people who care about data representation, data architecture and data engineering.
