Title :
Data Mining and Semantic Inference in Cognitive Systems
Author :
Ogiela, Lidia ; Ogiela, Marek R.
Author_Institution :
Fac. of Manage. Dept. of Appl. Comput. Sci., AGH Univ. of Sci. & Technol., Krakow, Poland
Abstract :
In this paper the semantic analysis procedures will be adopted for data understanding tasks using cognitive financial systems. Cognitive financial systems, which semantically analyze the financial situation of particular enterprise, execute their tasks using semantic information available to them. The basic operation of financial cognitive systems consists in both the semantic analysis of the situation of the company described by various ratios, and the assessment of the present and future situation of this enterprise. That is why cognitive economics and semantic algorithms are geared towards the semantic analysis of the financial situation of enterprises carried out by means of an in-depth description, an analysis, a reasoning and a projection of the condition of enterprises.
Keywords :
cognitive systems; data mining; financial management; industrial economics; inference mechanisms; semantic networks; cognitive economics; cognitive financial systems; company situation; data mining; data understanding tasks; enterprise condition analysis; enterprise condition projection; enterprise condition reasoning; enterprise situation assessment; semantic algorithms; semantic financial situation analysis; semantic inference; semantic information; Companies; Data mining; Grammar; Information systems; Pragmatics; Profitability; Semantics; cognitive systems; data understanding; semantic interpretation;
Conference_Titel :
Intelligent Networking and Collaborative Systems (INCoS), 2014 International Conference on
Print_ISBN :
978-1-4799-6386-7
DOI :
10.1109/INCoS.2014.110
