Web of Data

所在平台: CourseraArchive

课程类别: 其他类别

大学或机构: CourseraNew

课程主页: https://www.coursera.org/archive/web-data

课程评论:没有评论

第一个写评论        关注课程

课程大纲

PRINCIPLES OF A WEB OF LINKED DATA
The RDF data model
SPARQL Query Language
Integration of other data formats and sources

课程评论(0条)

课程详情

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 you 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.

数据网:这项MOOC是EIT Digital,尼斯索菲亚安蒂波利斯大学/蔚蓝大学和INRIA的一项联合倡议,它介绍了链接数据标准和原理,这些标准和原理为语义网奠定了基础。您将学习如何直接从Web发布,获取和使用结构化数据。学习有关在Web上交换数据的原理,语言和标准,将使您能够设计和生产利用Web拥有的数据量和种类繁多的新应用程序,产品和服务。 我们将本课程分为四个部分,涵盖了您需要掌握的核心技术技能和能力,才能将网络用作大型结构数据交换的空间: •在第一部分“链接数据网络的主体”中:您将学习和实践直接在Web上而不是在Web页面上发布和获取数据的原理; •在第二部分“ RDF数据模型”中:您将学习Web的标准数据模型及其语法,以在应用程序和服务中在Web上发布和链接数据; •在第三部分“ SPARQL查询语言”中:您将学习如何直接在Web上查询和访问数据源以及如何获取与您的活动和域相关的结构化数据; •在第四部分(也是最后一部分)中,“其他数据格式和源的集成”:您将学习Web标准如何与其他数据格式进行交互和互操作以允许集成各种数据源。 每周都会交替播放简短的视频和测验以及补充资源和论坛,以逐步通过不同的原则和标准。 成功完成本课程后,您将具备从Web上获取集中的结构化数据集的技能,然后可以使用这些数据集来扩充自己的数据集,丰富其维度,提供应用程序,执行数据挖掘,机器学习和培训,数据分析,AI处理和推理等数据管理。

课程标签

0人关注该课程

主题相关的课程