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Distributed Information Systems Laboratory

Research in our group focuses on producing reliable information from the vast amount of data that is available on the Internet – a key challenge in today’s information society. We are developing methods and systems that turn unstructured, heterogeneous and untrusted data into meaningful, reliable and understandeable information. We do this in the context of concrete information processing tasks, such as data and knowledge integration, information retrieval, filtering and extraction, document understanding and trust and crediblity assessment. Given that tackling these problem relies usually on the needs of the user and requires at the same time processing of large amounts of data, we explore methods that enable integration of human knowledge with state-of-the-art machine learning. We apply the results of our work in concrete application domains, such as Media, Humanitarian Action and Knowledge Management in enterprises.