2005Telecommunications and Radio EngineeringRequires access

The Concept of Building the Information Model of an Enterprise

R. M. Mikita, Yuri Rogozov, Alexander Sviridov, L. N. Stukotii

Open publisher page 2 citations

Abstract

A concept of the technique for building the information model of an enterprise in the process of design of an automated information system has been proposed. The technique deals with a number of stages, from examining the enterprise to building various types of information models.

About this research paper

What this paper is about

A concept of the technique for building the information model of an enterprise in the process of design of an automated information system has been proposed. The technique deals with a number of stages, from examining the enterprise to building various types of information models.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

A concept of the technique for building the information model of an enterprise in the process of design of an automated information system has been proposed. The technique deals with a number of stages, from examining the enterprise to building various types of information models.

Key concepts: Enterprise information system, Computer science, Enterprise integration, Enterprise systems engineering, Enterprise modelling, Process (computing), Information model, Knowledge management

Related papers

Back to paper searchBrowse research topicsOriginal source
The Concept of Building the Information Model of an Enterprise — Research Paper | ScholarLens