Knowledge Discovery
Or you may receive key financial information from a variety of banks, funds and financial institutions, from which you just to compile key information like names of people and names of institutions, exchange rates between a couple of currencies.
Knowledge Engineering and Discovery tool
Knowledge Discovery must not be confused with e-Discovery as it does not only extract information from text from a given list of keywords, leaving the source intact. K-Discovery provides a structure to the source text so that machine learning and machine mining methods can be applied for any type of structured information retrieval at a later stage. It is different from Summarization because it does not intend to create an abstract representation of the meaning for quick processing by humans (that can be a final use of Knowledge Discovery).
It applies knowledge to the source so many types of actions can be undertaken, and several types of usages can be derived from it.
