Information extraction methods for text documents in a Cognitive Integrated Management Information System
AbstractIn 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.
|Publication size in sheets||0.4|
|Book||Jędrzejowski Piotr, Nguyen Ngoc Thanh, Hong Tzung-Pei (eds.): Proceedings 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF). June 24-26, 2015, Gdynia, Poland, 2015, Institute of Electrical and Electronics Engineers, ISBN 9781479983223, 520 p.|
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|Citation count*||2 (2020-07-10)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.