Digitalization creates and enables a more efficient handling of knowledge. Existing knowledge can be digitized. New knowledge and ideas can be created on the basis of digitized knowledge. However, the basic requirements for knowledge management remain unchanged. The need to share, innovate, reuse, collaborate and learn is timeless. Therefore, we conduct research on the development of methods and tools to support data and knowledge services. With the help of machine learning, we work on solutions for the intelligent collection of knowledge, the enrichment of knowledge with semantic information and meta-data, and the mapping of the relationships between the extracted knowledge. In a further step, the extracted knowledge can be validated and correlated.