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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Learners

Current
Today
9,242
Course End
12月 12 2016
5,467
Course Start
10月 17 2016
4,270

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该课程提供者

Prof. Dr. Harald Sack

Harald Sack is Professor for Information Services Engineering at FIZ Karlsruhe - Leibniz Institute for Information Infrastructure and Karlsruhe Institute of Technology. After graduating in computer science at the University of the Federal Forces Munich Campus in 1990, he worked as systems/network engineer and project manager in the signal intelligence corps of the German federal forces from 1990–1997. In 1997 he became an associated member of the graduate program ‘mathematical optimization’ at the University of Trier, where he obtained a PhD in Computer Science in 2002. From 2002–2009 worked as PostDoc at the Friedrich-Schiller-University in Jena. From 2009 - 2016 he worked as Senior Researcher and head of the research group 'semantic technologies’ at the Hasso Plattner-Institute for IT-Systems Engineering (HPI) at the University of Potsdam.

His areas of research include semantic web technologies, knowledge representations and ontological engineering, multimedia analysis & retrieval, machine learning and semantic enabled retrieval.

He is charter member and general secretary of the 2008 founded German IPv6 Council. He has served as Senior PC member or PC member of numerous international conferences and workshops related to semantic technologies as well as program chair, scientific chair or general chair.

Harald Sack has published more than 130 papers in international journals and conferences including three standard textbooks on networking technologies. He is co-founder of yovisto GmbH (www.yovisto.com).