The Technology for Development of Decision-making Support Services With Components Reuse

  • V. V. Gribova
  • A. S. Kleschev
  • P. M. Moskalenko
  • V. A. Timchenko
  • E. A. Shalfeeva
Keywords: intelligent task, knowledge base, decision-making support, cloudy service, cloudy software system, component

Abstract

The article represents methodology and technology of development and
assembling of cloudy decision-making support systems which use knowledge bases in network
representation. The system analysis of problem area and identification of known subtasks
allows to reuse tasks ontologies and domain ontologies, to find similar problem solving method
for these subtasks. The IACPaaS technology allows to reuse software components which
implement certain solving methods in development process of solvers of intelligent tasks. It
also allows to reuse information components, integrating them with the solvers at assembling
of cloud decision-making support services.

Author Biographies

V. V. Gribova

The Institute of Automation and Control Processes
IACP FEB RAS
Vladivostok, Russia

A. S. Kleschev

he Institute of Automation and Control Processes
IACP FEB RAS
Vladivostok, Russia

P. M. Moskalenko

The Institute of Automation and Control Processes
IACP FEB RAS
Vladivostok, Russia

V. A. Timchenko

The Institute of Automation and Control Processes
IACP FEB RAS
Vladivostok, Russia

E. A. Shalfeeva

The Institute of Automation and Control Processes
IACP FEB RAS
Vladivostok, Russia

References

[1] A.V. Bukhanovsky etc. “CLAVIRE: perspective technology of cloud computing of the second
generation,” Journal of Instrument Engineering (Izvestiya vysshikh uchebnykh zavedeniy.
Priborostroenie). 2011. No. 10, pp. 7-14. (in Russian).
[2] Le Sun, H. Dong, F.Khadeer Hussain, O. Khadeer Hussain, E. Chang “Cloud service selection:
State-of-the-art and future research directions,” Journal of Network and Computer
Applications, 2014, Vol. 45, pp. 134–150.
[3] Qi Zhang, Lu Cheng, R. Boutaba. "Cloud computing: state-of-the-art and research
challenges,” J. Internet Serv App., 2010. №1, pр. 7–18.
[4] T. Tudorache, C. Nyulas, N.F. Noy, M.A. Musen WebProtégé: A Collaborative Ontology
Editor and Knowledge Acquisition Tool for the Web,” Semantic Web Journal (SWJ), 4,
Number 1, 2013, pp. 89 – 99.
[5] Zagorulko Yu.A. Semantic technology for development of intellectual systems oriented to
ex-perts in subject domain,” Ontology of Designing, 2015, № 2 (15), pp. 30-46. (in Russian).
[6] Gribova V.V., Kleshchev A.S., Krylov D.A., Moskalenko F.M., Timchenko V.A., Shalfeeva E.A.
Basic technology of development of intellectual services on the cloudy IACPaaS platform.
Part 1. Development of the knowledge base and solver of tasks,”Program engineering.
2015. No. 12. Pp. 3-11. (in Russian).
[7] F. Puppe, Knowledge Reuse among Diagnostic Problem Solving. Methods in the Shell-Kit
D3,” International Journal of Human-Computer Studies, 1998. Volume 49, Issue 4, P. 627–
649
[8] А.S. Kleschev, Е.А. Shalfeeva, An ontology of intellectual activity tasks,” Ontology of
Designing, 2015, № 2(16), pp. 179-205. (In Russian)
Published
2018-10-31