DocumentCode :
2036316
Title :
Modern Methods for the Cognitive Analysis of Economic Data and Text Documents and their Application in Enterprise Management
Author :
Tadeusiewicz, Ryszard ; Ogiela, Lidia
Author_Institution :
Dept. of Autom., AGH Univ. of Sci. & Technol., Krakow
fYear :
2008
fDate :
26-28 June 2008
Firstpage :
11
Lastpage :
23
Abstract :
This article presents the subject of using information resources such as economic data and data from text documents in computer-aided business management. It is demonstrated that to make effective use of specified information resources, it is necessary to go into the contents of documents and the meaning of data, and not just to collect, process and subject them to simple analyses, e.g. statistical ones. After a literature-based review of methods used for this purpose, authors propose applying methods of semantic analysis and reasoning. Such methods, originally proposed for the automatic understanding of medical images and developed with a view to this use for a number of years, may lead to the development of UBMSS cognitive management-support systems. A general description of such a system is presented and discussed in this article.
Keywords :
business data processing; cognitive systems; semantic networks; text analysis; cognitive analysis; cognitive management-support systems; computer-aided business management; economic data analysis; enterprise management; information resources; medical images; semantic analysis; semantic reasoning; specified information resources; text documents; Application software; Data analysis; Decision making; Decision support systems; Humans; Information analysis; Information resources; Management information systems; Resource management; Technology management; cognitive methods; data understanding; document analysis; management support systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Information Systems and Industrial Management Applications, 2008. CISIM '08. 7th
Conference_Location :
Ostrava
Print_ISBN :
978-0-7695-3184-7
Type :
conf
DOI :
10.1109/CISIM.2008.60
Filename :
4557829
Link To Document :
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