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.
February 03, 2013 23:00 (UTC) to April 07, 2013 21:55 (UTC)
Language: English

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Course information


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.

Course contents


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    If you like to enroll for this course, there are no formal prerequisites or limitations. The course is free and open for everyone. Just register yourself for an account on openHPI and go for the course!

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    Harald Sack is Senior Researcher at the Hasso Plattner-Institute for IT-Systems Engineering (HPI) at the University of Potsdam. 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 2002–2008 worked as a postdoc at the Friedrich-Schiller-University in Jena. In 2007 he received a visiting position at the HPI, where he now is head of the research group 'semantic technologies'.

    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.

    Dr. Harald Sack has published more than 80 papers in international journals and conferences including three standard textbooks on networking technologies. He is co-founder of yovisto GmbH (www.yovisto.com).

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