Knowledge Representation of Cognitive Agents Processing the Economy Events

Marcin Hernes , Andrzej Bytniewski

Abstract

Nowadays, companies use accounting IT systems in which the registration of economic events is most often performed with the use of relational or object databases. More often, it becomes necessary not only to register the value of economic events attributes but also to automatically analyze their meaning. These functions can be realized by using, among others, the cognitive agents. Their knowledge related to economic events shall be represented using semantic methods. Therefore the aim of this paper is to develop a semantic method for knowledge representation of cognitive agents processing economic events. This method will facilitate registration of attributes of economic events and the analysis of their meaning.
Author Marcin Hernes (EaE / IES / DACIaQM)
Marcin Hernes,,
- Department of Accounting, Control, Informatics and Quantitative Methods
, Andrzej Bytniewski (EaE / IES / DACIaQM)
Andrzej Bytniewski,,
- Department of Accounting, Control, Informatics and Quantitative Methods
Pages392-401
Publication size in sheets0.5
Book Nguyen Ngoc Thanh, Hoang Duong Hung, Hong Tzung-Pei, Pham Hoang, Trawiński Bogdan (eds.): Intelligent Information and Database Systems. 10th Asian Conference, ACIIDS 2018 Dong Hoi City, Vietnam, March 19–21, 2018 Proceedings, Part I, Lecture Notes in Computer Science, vol. 10751, 2018, Springer International Publishing, ISBN 9783319754161, [ 9783319754178], 721 p., DOI:10.1007/978-3-319-75417-8
Nguyen_Hoang_Hong_Pham_Trawinski_Intelligent_Information_And_Database.pdf / No licence information (file archived - login or check accessibility on faculty)
Keywords in EnglishAccounting IT systems, Economic events, Cognitive agents, Semantic knowledge representation
DOIDOI:10.1007/978-3-319-75417-8_37
Languageen angielski
Score (nominal)20
Score sourceconferenceList
Publication indicators WoS Citations = 0
Citation count*1 (2020-08-08)
Cite
Share Share

Get link to the record


* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
Back