Supporting Problem Solving Process of Expert System Architecture in Database Administration
Kauliņš Andrejs ()
Additional contact information
Kauliņš Andrejs: Riga Technical University, Riga, Latvia
Information Technology and Management Science, 2017, vol. 20, issue 1, 109-115
Abstract:
The present article describes the supporting problem solving process of expert system architecture in database administration. The proposed expert system produces solutions using input data from users, also recommends a better solution according to the defined task, restrictions and given optimisation goal. To generate solutions, an expert system uses the combined method to produce a solution. The present article also describes a problem domain, where an expert system could be used. In the implementation section, system design and implementation are also introduced. Conclusion section comprises further research and development steps.
Keywords: Expert system architecture; decision support; ontology (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1515/itms-2017-0019 (text/html)
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:vrs:itmasc:v:20:y:2017:i:1:p:109-115:n:19
DOI: 10.1515/itms-2017-0019
Access Statistics for this article
Information Technology and Management Science is currently edited by J. Merkurjevs
More articles in Information Technology and Management Science from Sciendo
Bibliographic data for series maintained by Peter Golla ().