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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/web-data
课程评论：没有评论
课程名称：数据之网 概述：本课程是EIT数字与尼斯索非亚大学/阿尔卑斯海岸大学、INRIA的联合项目，介绍支撑语义网的链接数据标准和原则。您将学习如何从网络上直接发布、获取和使用结构化数据。掌握这些原则、语言和数据交换标准将使您能够设计和开发新的应用程序、产品和服务，以利用网络所包含的大量和多样化的数据。 本课程分为四个部分，涵盖您需要掌握的核心技术技能和能力，以便能够将网络作为大型结构数据交换的平台： 1. **链接数据网络的原则**：在第一部分，您将学习并实践如何直接在网络上发布和获取数据，而不是仅限于网页。 2. **RDF 数据模型**：第二部分将介绍资源描述框架（RDF），这是在网络上发布和链接数据的标准数据模型及其语法。 3. **SPARQL 查询语言**：第三部分将介绍SPARQL查询语言，您将学习如何直接查询和访问网络上的数据源，以获取与您的活动和领域相关的结构化数据。 4. **其他数据格式与源的集成**：最后一部分将探讨网络标准如何与其他数据格式互动和互操作，允许多种数据源的集成。 每周的学习内容包括短视频和测验，以及补充资源和论坛，以帮助您逐步掌握不同的原则和标准。 完成本课程后，您将具备从网络获取集中的结构化数据的能力，这些数据可用于丰富您的数据集、扩展其维度、供您的应用程序使用、进行数据挖掘、机器学习和训练、数据分析、人工智能处理与推理及其他数据管理等。
Part: 1
Title:PRINCIPLES OF A WEB OF LINKED DATA
Description:This first week is dedicated to introducing the notion of a Web of Linked Data. Dr. Fabien Gandon will start with some background and general knowledge about the Web, its history and its architecture.
Part: 2
Title:The RDF data model
Description:This second week is dedicated to the Resource Description Framework (RDF), the standard data model to publish and link data on the Web.
Part: 3
Title:SPARQL Query Language
Description:This third week presents the SPARQL Query Language that enables users to perform information retrieval by querying RDF datasets on the Web of Data.
Part: 4
Title:Integration of other data formats and sources
Description:This last week offers an open conclusion of the MOOC by addressing several initiatives to integrate more and more data on the Web.
This MOOC – a joint initiative between EIT Digital, Université de Nice Sophia-Antipolis / Université Côte d'Azur, and INRIA - introduces the Linked Data standards and principles that provide the foundation of the Semantic web. You will learn how to publish, obtain and use structured data directly from the Web. Learning the principles, languages, and standards to exchange data on the Web will enable you to design and produce new applications, products, and services that leverage the volume and variety of data the Web holds. We divided this course into four parts that cover the core technical skills and competencies you need to master to be able to use the Web as a space for giant structure data exchange: • in the first part, “Principals of a Web of Linked Data”: you will learn and practice the principles to publish and obtain data directly on the Web instead of Web pages; • in the second part, “The RDF Data Model”: you will learn the standard data model for the Web and its syntaxes to publish and link data on the Web in your applications and services; • in the third part, “SPARQL Query Language”: you will learn how to directly query and access data sources on the Web and obtain structured data relevant to your activity and domain; • in the fourth and final part, “Integration of other Data Formats and Sources”: you will learn how the Web standards interact and interoperate with other data formats to allow the integration of a variety of data sources. Each week alternates short videos and quizzes, as well as supplementary resources and forums to gradually progress through the different principles and standards. After following this course successfully, you will have the skills to obtain focused and structured datasets from the Web that you can then use to augment your own datasets, enrich their dimensions, feed your applications, perform data mining, machine learning, and training, data analysis, AI processing and reasoning and other data management.
