This document discusses text mining and challenges working with unstructured biomedical data from various sources. It describes using named entity recognition, expansion rules, and co-mentioning within texts to identify related entities. Integrating text mining with curated knowledge bases and other data can provide a more comprehensive perspective but requires common identifiers and dealing with different formats, licenses, and qualities of information from multiple sources. Collaboration is important to make the most of available data.