Development of diagnostic ontology model of distributed information systems based on the many-sorted language of applied logic

Authors

DOI:

https://doi.org/10.15587/1729-4061.2015.40548

Keywords:

ontology, services, distributed information systems, many-sorted applied logic

Abstract

In constructing diagnostic systems of distributed information systems based on knowledge, the paper proposes an approach using the many-sorted language of applied logic. In developing intelligent systems for the diagnostics of distributed information systems, this allows to apply the concept of designing intelligent systems, all components (data, knowledge, problem solver with the user interface) of which have common principles for their formation, access and modification.

The developed model is based on the idea of distributed information system as the sets of services and sources of diagnostic information, which must be considered in the process of identifying the status of a service. Basic concepts introduced in the ontology framework allow to describe the subject area, taking into account operation features of services within the distributed information system, determine the knowledge depending on the dynamics periods of parameters, record a selected set of diagnostic parameters for a given failure cause and possible parameter values in the input periods.

Author Biographies

Петр Метталинович Тишин, Odessa national polytechnic university Shevchenco 1, Odsea, Ukraine, 65044

Associate professor, PhD

The department of computer intellectual systems and network

Александр Сергеевич Маковецкий, Odessa national polytechnic university Shevchenco 1, Odsea, Ukraine, 65044

Senior lecturer

The department of information systems

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Published

2015-04-20

How to Cite

Тишин, П. М., & Маковецкий, А. С. (2015). Development of diagnostic ontology model of distributed information systems based on the many-sorted language of applied logic. Eastern-European Journal of Enterprise Technologies, 2(2(74), 21–26. https://doi.org/10.15587/1729-4061.2015.40548