Devising a mathematical model for pattern-based enterprise data integration

Authors

  • Илона Николаевна Галушка Kremenchug National University. Michael Ostrogradskiy st. Pershotravneva 20, Kremenchug, Ukraine, 39600, Ukraine https://orcid.org/0000-0003-0900-1846
  • Сергей Сергеевич Щербак Kremenchug National University . Michael Ostrogradskiy st. Pershotravneva 20, Kremenchug , Ukraine , 39600, Ukraine https://orcid.org/0000-0003-2914-2101

DOI:

https://doi.org/10.15587/1729-4061.2015.39427

Keywords:

information systems, enterprise service bus, related data, distributed objects, integration patterns

Abstract

The paper considers the problem of centralized automation policy at domestic enterprises that leads to a decreasing quality of subdivision interaction and productivity of an enterprise operation. To solve such problems, we have suggested an approach based on collective use of the concept of combined data and the enterprise service bus. The devised classification of the existing patterns of corporative data integration and brief characteristics of integration platforms IBM WebSphere, TransparentGateways, and OpenLinkVirtuoso have secured an adequate decision for integration аt the data level in favor of adaptable, easily customizable, and intuitive integration tools. We have suggested a mathematical model for the specialized integration system of corporative data as part of the enterprise service bus. The model provides logical consistency and formal description for the structures of integrated data as patterns for hierarchically arranged distributed objects with unified access interfaces. The model contains mapping functions that formally describe integration processes on the basis of related data and object-oriented approach. This allows increasing the interaction productivity for inherited enterprise information systems at the expense of integration patterns.

We have considered practical aspects of corporative data integration that demonstrate advantages and efficiency of decisions based on the suggested model, the selected integration platform OpenLinkVirtuoso, and the SPARQL protocol. The devised architecture of the specialized system for integrating corporative data is based on the enterprise service bus and related data technologies. The architecture means a complex of integration brokers and describes, in terms of related data concepts, the relay of the integrated message between the sources of inherited information systems.

Author Biographies

Илона Николаевна Галушка, Kremenchug National University. Michael Ostrogradskiy st. Pershotravneva 20, Kremenchug, Ukraine, 39600

Assistant

Department of Information and Control Systems

 

Сергей Сергеевич Щербак, Kremenchug National University . Michael Ostrogradskiy st. Pershotravneva 20, Kremenchug , Ukraine , 39600

Associate professor, Candidate of technical science Professor

Department of Information and Control Systems

 

References

  1. Rosinskiy, V. V. (2012). Ensuring data integration in corporate information systems based on advanced web-based technologies. Vistnik DUІKT, 10 (1), 87.
  2. Prikhodko, S. A., Andryukhin, A. I. (2008). Integration of information and computing resources of the Internet. Proceedings of Donetsk National Technical University. Ser.: Informatics, Cybernetics and Computer Science, 9, 255–264.
  3. Rudakov, A. V. (2008). Problems of integration of complex systems. Automation. Automation. Electrical equipment and systems: scientific and technical journal, 2, 43–48.
  4. Lobuzіna, K. V. (2012). Current approaches to the integration of electronic information resources library. Vitnik of the Book Chamber, 12, 24–28.
  5. Kogalovskii, M. R. (2010). Methods for integrating data in information systems. Market Economy Institute RAS. Moscow, 74.
  6. Kulik, J. A., Kovalev, A. S. (2011). Methods of creating context-independent data integration system. Radio electronic and computer systems, 1, 46–51.
  7. Chernjavskaja, I. M. (2005). Optimization Designing yntehryrovannoy Informational management systems. Project management and development of production, 3 (15), 123–134.
  8. Rathje, B. D., McGrory, M., Pollitt, C., Voutilainen, P. (2005). Designing and Building Integrated Digital Library System – Guidelines. under the auspices of the IFLA Libraries for the Blind Section The Hague, IFLA Headguarters, 67.
  9. Briukhov, D. O., Shumilov, S. S. (1995). Ontology Specification and Integration Facilities in a Semantic Interoperation Framework. Proc. of the Second Intern. Workshop ADBIS'95. Moscow, 195–200.
  10. Zaitsev, O. V., Savchenko, T. V., Gluhov, S. І. (2013). Model integration of data from different information sources based on evidence theory. Scientific Papers of the Military Institute of Kyiv National Taras Shevchenko, 43, 142–146.
  11. Baklanov, A. A. (2013). Integrated multi–scale models of interacting urban meteorology/climate and air quality: outcomes from megapoli. Ukrainian Hydrometeorological Journal, 12, 31–38.
  12. Evlanov, M. V., Nikitiuk, V. A. (2013). Generalized model of the framework of functional service information system. Information processing systems, 1, 194–199.
  13. Dubin, A. Overview of design patterns. Available at: http://citforum.ru/SE/project/pattern/index.shtml#toc (Last accessed: 03/09/2015)
  14. Beck, K. (2008). Templates Implementation enterprise applications. Moscow: Publishing House "Williams", 176.
  15. Shappell, D. (2008). ESB – Enterprise Service Bus. Spb.: BHV–Petersburg, .368.
  16. Kogalovskii, M. R. (2003). Advanced technologies of information systems. Moscow IT Economics, 288.
  17. Hop, Gregor Enterprise Integration Patterns.: Lane. from English (2007). Moscow: OOO "ID Williams", 672.
  18. Hohpe, B. (2004). Woolf. Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions. Addison–Wesley.
  19. Liyang, Yu. (2014). A Developer's Guide to the Semantic Web. Springer; 2nd ed. 2014 edition, 829. doi: 10.1007/978-3-662-43796-4
  20. Botzenhardt, A., Maedche, A., Wiesner, J. (2011). Developing a Domain Ontology for Software Product Management. Proceedings of the 5th International Workshop on Software Product Management (IWSPM–2011). Fifth International Workshop on Software Product Management (IWSPM), 7–16. doi: 10.1109/iwspm.2011.6046207
  21. Maedche, A., Zacharias, V. (2002). Proc. 6th European PKDD Conf. LNCS V. 2431. Berlin: Springer, 348.

Published

2015-04-20

How to Cite

Галушка, И. Н., & Щербак, С. С. (2015). Devising a mathematical model for pattern-based enterprise data integration. Eastern-European Journal of Enterprise Technologies, 2(9(74), 59–64. https://doi.org/10.15587/1729-4061.2015.39427

Issue

Section

Information and controlling system