Data Mining and Semantic Inference in Cognitive Systems

被引：49
|
作者：
Ogiela, Lidia [1 ]
Ogiela, Marek R. [2 ]
机构：
[1] AGH Univ Sci & Technol, Fac Management, Dept Appl Comp Sci, 30 Mickiewicza Ave, PL-30059 Krakow, Poland
[2] AGH Univ Sci & Technol, Fac Elect Engn Automat Comp Sci & Biomed Engn, Dept Automat & Biomed Engn, PL-30059 Krakow, Poland
来源：
2014 INTERNATIONAL CONFERENCE ON INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS (INCOS) | 2014年
关键词：
cognitive systems; data understanding; semantic interpretation;
D O I：
10.1109/INCoS.2014.110
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：257 / 261
页数：5
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