Welcome on the homepage of the chair "Internet Technologies and Systems" of Prof. Dr. Christoph Meinel and his team. We like to inform you about our teaching and ongoing research activities in security, knowledge engineering, innovation and design thinking research.

The chair of Prof. Dr. Christoph Meinel offers courses in the following disciplines: Internet and Web Technologies, (Discrete) Mathematics and Logic, IT Security and Internet Security, Complexity Theory and Information Security as well as Design Thinking.

In Security and Trust Engineering our research and development work is mainly focused on: Network & Internet Security, Cloud and SOA-Security (SOA - Service Oriented Architectures) and Security Awareness.

The research of the team of Prof. Dr. Christoph Meinel in the field of knowledge management and engineering focus on the challenging question, how to manage the mass of digital data, so-called "big data", from Internet and other sources in order to generate new knowledge.

In the research work of the team of Prof. Dr. Christoph Meinel in the area of Internet technologies and innovation research many new ideas are born for innovative applications in the future Internet.

Among others here you can find links to all our books and more than 400 (peer-reviewed) conference and journal papers.

Complete List of Conference Papers of the chair of Prof. Dr. Christoph Meinel

Here you can find all our peer-reviewed conference papers.

You can also find sub-lists of our peer-reviewed conference papers focusing on

Security and Trust Engineering
Web 3.0: semantic web, social web, service web
Next-generation Internet applications in
Innovation and Design Thinking research
Theoretical Computer Science: Computational Complexity and BDDs

Don't compare Apples to Oranges - Extending GERBIL for a fine grained NEL evaluation

Waitelonis, Jörg; Jürges, Henrik; Sack, Harald in Proc. of 12th Int. Conf. on Semantic Systems (SEMANTICS 2016) 2016 .

In recent years, named entity linking (NEL) tools were primarily developed as general approaches, whereas today numerous tools are focusing on specific domains such as e.g. the mapping of persons and organizations only, or the annotation of locations or events in microposts. However, the available benchmark datasets used for the evaluation of NEL tools do not respect this focalizing trend. We have analyzed the evaluation process applied in the NEL benchmarking framework GERBIL and its benchmark datasets. Based on these insights we extend the GERBIL framework to enable a more fine grained evaluation and in deep analysis of the used benchmark datasets according to different emphases. In this paper, we present the implementation of an adaptive filter for arbitrary entities as well as a system to automatically measure benchmark dataset properties, such as the extent of content-related ambiguity and diversity. The implementation as well as a result visualization are integrated in the publicly available GERBIL framework.