EconPapers    
Economics at your fingertips  
 

Decision Support Systems Usefulness and A Practical Solution Based on Semantic Web Technologies

Sabina Necula and Laura-Diana Radu

MPRA Paper from University Library of Munich, Germany

Abstract: Nowadays Decision Support Systems deal with impressive amount of information. Current Decision Support Systems are customized solutions, possible to be used only in the context for which they were developed. In addition to this the information integration is other common problem of the Decision Support Systems. This paper tries to outline the main idea that in order that Decision Support Systems users' to be satisfied with the solution provided two conditions must be assured: the possibility to apply knowledge at the decision moment and place by the decision makers and the semantic integration of information. In this work we analyze the direct influence of the two conditions enunciated above and we came with a solution that is based on ontology, Semantic Web technologies and inference engine. We demonstrate the contribution of our approach by undertaking three scenarios from business decision making processes.

Keywords: decision support systems; information integration; semantic web; ontology; knowledge (search for similar items in EconPapers)
JEL-codes: D83 L86 (search for similar items in EconPapers)
Date: 2011-09
References: View references in EconPapers View complete reference list from CitEc
Citations:

Published in Proceedings of the 17th IBIMA Conference on Creating Global Competitive Economies: A 360-degree Approach (2011): pp. 1131-1138

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/51547/1/MPRA_paper_51547.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:51547

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2025-03-19
Handle: RePEc:pra:mprapa:51547