Linked Data Engineering

We are surrounded by data everywhere. By helping us to make better decisions, data plays a central role in our daily lives. An ever increasing number of data sources, driven by individuals and organizations, contribute to this data deluge by sharing their data with others. However, data is locked up behind proprietary, unreliable, and even unstable programming interfaces that prevent us from optimally making use of it.
Linked Data has the potential to revolutionize the way we discover, access, integrate, and use data; just in the way the World Wide Web has revolutionized the way we consume and connect documents.
This course will introduce you to the basic principles and technologies of Linked Data to enable data sharing and reuse on a massive scale. Held together by ontologies, i.e. knowledge representations based on Semantic Web technologies, Linked Data serves as the central building block of the emerging Web of Data.

自十二月 12, 2016起开始自学
语言: English
Big Data and AI, Expert, Internet

课程信息

We are surrounded by data everywhere. By helping us to make better decisions, data plays a central role in our daily lives. An ever increasing number of data sources, driven by individuals and organizations, contribute to this data deluge by sharing their data with others. However, data is locked up behind proprietary, unreliable, and even unstable programming interfaces that prevent us from optimally making use of it. Linked Data has the potential to revolutionize the way we discover, access, integrate, and use data; just in the way the World Wide Web has revolutionized the way we consume and connect documents. This course will introduce you to the basic principles and technologies of Linked Data to enable data sharing and reuse on a massive scale. Held together by ontologies, i.e. knowledge representations based on Semantic Web technologies, Linked Data serves as the central building block of the emerging Web of Data.

课程内容

  • Week 1:

    Linked Data and the Web of Data
  • Week 2:

    RDF and RDFS
  • Week 3:

    Linked Data Vocabularies and Ontologies
  • Week 4:

    Querying RDF with SPARQL
  • Week 5:

    Linked Data Mashups and Applications
  • Week 6:

    Advanced Linked Data Based Applications
  • Final Examination

  • Hands On for Advanced Users:

    This section is optional and intended for advanced users. It will contain small exercises on programming and publishing Linked Data.

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该课程提供者

Prof. Dr. Harald Sack

哈拉尔德-萨克是卡尔斯鲁厄FIZ-莱布尼茨信息基础设施研究所和卡尔斯鲁厄技术研究所的信息服务工程教授。1990年在联邦部队慕尼黑校区大学计算机科学专业毕业后,1990-1997年他在德国联邦部队的信号情报团担任系统/网络工程师和项目经理。1997年,他成为特里尔大学 "数学优化 "研究生项目的联系成员,并于2002年获得计算机科学博士学位。2002-2009年在耶拿的弗里德里希-席勒大学担任博士后。2009-2016年,他在波茨坦大学哈索-普拉特纳信息技术-系统工程研究所(HPI)担任高级研究员和 "语义技术 "研究组组长。

他的研究领域包括语义技术、知识图谱和知识表示、本体工程、知识提取、机器学习、语义和探索性搜索。

他是2008年成立的德国IPv6委员会的特许成员和秘书长。他曾在许多与语义技术有关的国际会议和研讨会中担任高级计算机成员或计算机成员,并担任项目主席、科学主席或总主席。

Harald Sack在国际期刊和会议上发表了200多篇论文,包括三本网络技术的标准教科书。他是yovisto GmbH(www.yovisto.com)的共同创始人。

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