Semantic Web Technologies

The Web has become an object of our daily life and the amount of information in the web is ever growing. Besides plain texts, especially multimedia information such as graphics, audio or video has become a predominant part within the web's information traffic. But, how to find some useful information within this huge information space? Traditional search engines will come to the limits of their powers, when it comes to understanding information content. The Semantic Web is an extension of the traditional web in the sense that the information implicitly contained in natural language text is complemented by explicit semantics based on formal knowledge representation. In this course, you will learn the fundamentals of Semantic Web technologies. You will learn how to represent knowledge and how to access and benefit from semantic data on the Web.

自四月 7, 2013起开始自学
语言: English

课程信息

The Web has become an object of our daily life and the amount of information in the web is ever growing. Besides plain texts, especially multimedia information such as graphics, audio or video have become a predominant part of the web's information traffic. But, how can we find useful information within this huge information space? Traditional search engines will reach the limits of their power, when it comes to understanding information content. The Semantic Web is an extension of the traditional web in the sense that information in the form of natural language text in the web will be complemented by its explicit semantics based on a formal knowledge representation. Thus, the meaning of information expressed in natural language can be accessed in an automated way and interpreted correctly, i.e. it can be understood by machines.

Semantic Web technologies enable the explicit representation of knowledge and its further processing to deduce new knowledge from implicitly hidden knowledge. Thus, information access and information search will be more precise and more complete compared to today's traditional information retrieval technology. Previously heterogeneous data can be mapped and combined based on common knowledge representation and schemata easily extended in a dynamic way.

In this course, you will learn the fundamentals of Semantic Web technologies. You will learn how to represent knowledge and how to access and benefit from semantic data on the Web.

You'll find additional video lecturing material on www.tele-task.de.

课程内容

  • Week 1:

    Introduction to the Semantic Web
  • Week 2:

    Identifying Things with URI and RDF
  • Week 3:

    Querying RDF(S) with SPARQL
  • Excursus:

    Semantic (Meta) Data and the Web
  • Week 4:

    Knowledge Representation I
  • Week 5:

    Knowledge Representation II
  • Week 6:

    Applications in the Web of 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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