From Document to Database: Manage and Search for Chemical Information in Documents within the Enterprise
7th November, 2013
4:00 pm CET / 7:00 am PST / 10:00 am EST / 3:00 pm GMT / 8:30 pm IST
Nowadays, every organization has a lot of proprietary information stored in various documents, usually scattered around internal information systems. With document repository systems, it is easier to search all internal documents by text and file properties. But what about the hidden chemical information, such as structure images, embedded objects, various types of chemical names, SMILES, InChI, or even a corporate ID? Wouldn’t it be nice to be able to do a chemically intelligent search, like substructure or similarity search to find documents relevant to a compound of interest?
In this presentation, we introduce a new addition to ChemAxon text mining family, Document to Database. Document to Database can continuously index chemical information from documents in a repository system (e.g. Documentum). It also provides a web interface, in which users can perform chemical searches within documents, or view augmented documents with chemical information annotated. In this presentation we will demonstrate how you can index and search with Document to Database.