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Work performed by WeST mainly targets research related to Web Science and Web technologies, Semantic Web and Big Data, Artificial Intelligence and Machine Learning, Network Analysis, Information Retrieval, and User Interfaces. Most research conducted is funded through projects by national or international funding agencies as well as by industry. Third-party projects allow us to bridge the gap between foundational research and applications and to bring cutting-edge technologies into everyday life.

Current Research Projects

  • Open debates include so many arguments that sound decision making exceeds cognitive capabilities of the interested public or responsible experts.

  • Misinformation generates misperceptions, which have affected policies in many domains, including economy, health, environment, and foreign policy.

  • Coastal urban development incorporates a wide range of development activities that are taking place as a result of the water element existing in the fabric of the city

  • Recording, analysis and interpretation of eye tracking and interaction data on dynamic Web content. Approximately one billion Web pages are operated worldwide that want to address specific target groups and are under competitive pressure. Good usability, i. e. simple comprehensibility and intuitive operation, is essential for making information or goods accessible to visitors.

  • Graph-based data models allow for flexible data representation as needed for data exchange and integration. A graph-based data model includes structural information and it may include also, in the case of semantic data, schematic information as part of the data.

  • Cognitive computing addresses problems characterized by ambiguity and uncertainty, meaning that it is used to handle problems humans are confronted with in everyday life.

  • Classification is the problem of categorizing new observations by using a classifier learnt from already categorized examples. In general, the area of machine learning has brought forth a series of different approaches to deal with this problem, from decision trees to support vector machines and others.

  • Democracy is constituted by democratic processes that follow rules. For a working democracy it is crucial that citizens have trust in the effectiveness and efficiency of these processes. Here, effectiveness means that democracy reaches its goal by representing the peoples' will, while efficiency means that this is achieved promptly and with little cost. Both effectiveness and efficiency can be increased by digitising democratic processes.

  • In product development reuse of product models and product development processes leads to considerable savings of costs and time. Due to existing IT systems supporting product development, such models and processes can be retrieved as digital artefacts.

  • The shortage of citation data for the international and especially the German social sciences is well known to researchers in the field and has itself often been subject to academic studies.

  • Koldfish is a system that supports application developers in implementing many use cases of the Web of Data. We are aiming at providing a suite of APIs for accessing, querying and processing linked data , while managing problems with, e.g., sparseness of schema information, data quality, provenance or availability for the application developer.


    MAMEM will integrate eye-tracking and brain-computer interfaces to help people with tetraplegia stay connected with society using their computers and common applications like e-mail or social networks.


  • Framework for gaze-controlled Web browsing. Information access and communication over the World Wide Web is an essential tool for people with disabilities to stay in touch with the world. We develop a Web browser that takes eye-movements as input source and supports the user to interact with webpages.

Closed Projects