Information extraction methods for text documents in a Cognitive Integrated Management Information System

In contemporary companies unstructured knowledge is essential, mainly due to the possibility to obtain better flexibility and competitiveness of the organization. For example, on the basis of automatic analysis of the experts' opinions, the decision-makers are capable of taking decisions (for example decisions concerning investments). This paper presents issues related to developing and evaluating a methods of information extraction performed by cognitive agent running in integrated management information system. The main advantages of this approach are cognitive agents' ability of including a context of extracted information and its ability of automatic decision-making on the basis of extracted information.