Taxonomic text and data mining in collections and libraries of natural history has received much attention in recent months. Given the fact that intelligent text and data mining is able to extract taxonomic facts and evidences around such subjects like species, types, distribution, parasitoids, host plants, relationships, DNA, accumulate information, and to standardize it, it is seen as a major enabler to foster bio-environmental research and new tax a discovery. In contrast to the bioscience web-based information, data of natural history collections have not reached the same level of maturity, understanding of significance, and practice of handling. Here, I present an existing work on the creation of taxonomic online tools, and highlight the associated technical and intellectual... challenges that emerge from text and data mining from libraries and natural history collections. The next step is the computerized automatization of extracting taxonomic facts from a standardized architecture. I outline the potential future directions in this domain that could help bio-environmental research, decision making related to environmental issues and new taxa discovery.