Chemical entities can appear in scientific text as trivial and brand names, assigned catalogue names, or IUPAC names. However, the preferred representation of chemical entities is often a two- dimensional depiction of the chemical structure. Depictions can be found as images in nearly all electronic sources of chemical information (e.g. journals, reports, patents, and web interfaces of chemical ... [Show full abstract] databases). Nowadays theses images are generated with special drawing programs, either automatically from computer readable file formats or by the chemist through a graphical user interface. Although drawing programs can produce and store the information in a computer readable format, chemical structure depictions are published as bitmap images (e.g. GIF for web interfaces or BMP for text documents). As a consequence, the structure information can no longer be used as input to chemical analysis software packages. To make published chemical structure information available in a computer-readable format, images representing chemical structures have to be manually converted by redrawing every structure. This is a time-consuming and error-prone process. Our research group in the Department of Bioinformatics at Fraunhofer SCAI is working successfully on the automated extraction of information from chemical depictions. We will present the concept and the latest results of our Chemical Structure Reconstruction (CSR) project. Zu Vortrag und Diskussion (auch beim anschließenden Mittagessen) laden wir herzlich ein.