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.
Conference Papers for Web 3.0 at the chair of Prof. Dr. Christoph Meinel
Here you can find our peer-reviewed conference papers on Web 3.0, Semantic Web, and Social Media
The Path is the Destination -- Enabling a New Search Paradigm with Linked Data
Waitelonis, Jörg; Knuth, Magnus; Wolf, Lina; Hercher, Johannes; Sack, Harald
Proceedings of the Workshop on Linked Data in the Future Internet at the Future Internet Assembly (LDFI 2010)
CEUR Workshop Proceedings
Today, searching the World Wide Web in most cases turns out in looking for a specific item, which means that the user should know the item in advance. In the future internet, searching for infor- mation comes closer to the notion of ’window shopping’ by means of exploratory and semantic search technologies. In the course of the ex- ploratory search process the user constantly receives new information and establishes a personalized knowledge base. To make this possible, se- mantic search technologies utilize domain knowledge and semantic data, as e.g., Linked Open Data (LOD), to expand and refine search results, to derive cross-references, and to reveal implicitly hidden semantic rela- tions. Implementing semantic exploratory search requires various issues have to be solved including mapping text to semantic entities, detecting and cleaning inconsistencies in available LOD, ranking algorithms for se- mantic data and heuristics for recommendations, as well as appropriate visualizations of complex semantic relationships. This paper describes how LOD can be utilized to enable exploratory search systems for the future internet.