The focus of this workshop is to bring together researchers that work in the field of data and text mining and computational biology and that want to integrate such heterogeneous structured and unstructured data, which is a challenging task, and want to better embed literature information into bioinformatics solutions.

The workshop will seek in particular:

• Data and text mining solutions for Bioinformatics that identify relevant background knowledge in textual documents, such as scientific publications, or in database annotations. Such approaches currently being studied range from term recognition to extraction of complex relationships of interaction between proteins.

• Ambitious knowledge discovery solutions that process heterogeneous biomedical data collected from electronic bulletin boards, scientific publications, and any type of experiments. It is important to identify and solve issues as to how to consolidate information extracted from textual documents into other types of data in structured form.