OBJECT-PROCESS DATA MODEL FOR SERVICE-ORIENTED ARCHITECTURE OF INTEGRATED INFORMATION SYSTEMS

The necessity of service-oriented architecture application in an integrated information system design is substantiated. It is proposed to use a multi-layer data bus for the interaction of independent applications. An object-process data model is considered that implements information support for process control. A distinctive feature of the proposed model from the relational one is that the data are stored not in the form of tables, but are organized in the form of hierarchical and network structures. The data source is represented by the indicators of business processes. Business processes determine the order and procedures for the use of applications of the integrated information system. A formal mathematical description is given for the basic models of objects and processes on the basis of the predicate calculus in the form of an algebraic system. The structure of a specialized language is presented for describing and manipulating of data in an integrated information system with a Service-Based Data Manipulation Language (SBDML). The SBDML language has two components: a language for data structure describing, and a language for data retrieving and updating. The first language component contains a description of simple and complex data types. Complex types are represented in the form of tree structures. The second language component contains a description of data manipulation functions that support the interaction of applications with the data bus.

1. Hasan H. Information systems development as a research method. Australasian Journal of Information Systems, 2003, vol. 11, no. 1, pp. 4–13. doi: 10.3127/ajis.v11i1.142 
2. Leonard J. A model of project and organizational dynamics. Australasian Journal of Information Systems, 2012, vol. 17, no. 2, pp. 5–22.
3. Mehta N., Hall D., Byrd T. Information technology and knowledge in software development teams: the role of project uncertainty. Information and Management, 2014, vol. 51, no. 4, pp. 417–429. doi: 10.1016/j.im.2014.02.007
4. Vijayan E., Senthilkumar K., Kumari P., Tolani S., Bhadra P. Convergence from SQL, NoSQL to NewSQL. International Journal of Pharmacy and Technology, 2016, vol. 8, no. 3, pp. 18351–18361.
5. Kuznetsov S.D. Object-relational databases: past stage or undervalued capabilities? Proceedings of the Institute for System Programming, 2007, vol. 13, no. 2, pp. 115–140. (in Russian)
6. SmirnovA.V., Shilov N.G., Ponomarev A.V., Kashevnik A.M., Parfenov V.G. Group context-driven collaborative filtering recommending systems: main principles, architecture and models. Artificial Intelligence and Decision Making, 2013, no. 4, pp. 14–25. (In Russian)
7. Shevchenko O.V. Analysis of modern approaches the design of information systems. Izvestiya SFedU. Engineering Sciences, 2013, no. 1, pp. 89–93.(In Russian)
8. Shvedenko V.N., Nabatov R.A., Shchekochikhin O.V. Adaptive computer-aided design and control system for business processes. Instruments and Systems: Monitoring, Control, and Diagnostics, 2008, no. 6, pp. 59–60. (In Russian)
9. Shvedenko V.N., Schekochikhin O.V., Shvedenko P.V. A possible architecture for a company’s management information system resolving problem situations. Informatsionno-Upravlyayushchie Sistemy, 2016, no. 5, pp. 86–90. (In Russian). doi:10.15217/issn1684-8853.2016.5.86
10. Madraky A., Othman Z.A., Hamdan A.R. Hair-oriented data model for spatio-temporal data representation. ExpertSystemswith Applications, 2016, vol. 59, pp. 119–144. doi: 10.1016/j.eswa.2016.04.028
11. Weisfeld M. The Object-Oriented Thought Process. 4^th ed. Addison-Wesley Professional, 2013, 336 p.
12. Schekochikhin O.V. Object-process data model in management information systems. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2017, vol. 17, no. 2, pp. 318–323 (in Russian). doi: 10.17586/2226-1494-2017-17-2-318-323
13. Vasin Y.G., Yasakov Y.V. Object-oriented topological management system of spatially-distributed databases. Pattern Recognition and Image Analysis, 2016, vol. 26, no. 4, pp. 734–741. doi: 10.1134/S1054661816040180
14. Jounaidi A., Malki D., Bahaj M., Cherti I. Conversion of an XML schema to object relational databases using a canonical data model. Journal of Theoretical and Applied Information Technology, 2016, vol. 93, no. 1, pp. 215–225.
15. Zülch G. Modelling and simulation of human decision-making in manufacturing systems. Proc. 2006 Winter Simulation Conference. Monterey, USA, 2006, pp. 947–953. doi: 10.1109/WSC.2006.323180
16. Shvedenko V.N., Veselova N.S. Enterprise information resources modeling for process organization of enterprise management system. Programmnye Produkty i Sistemy, 2014, no. 4, pp. 260–264. (In Russian) doi: 10.15827/0236-235X.108.260-264
17. SakharovaN.S. Analysis of information support business processes using groups request to the metadata model. Scientific and Technical Volga Region Bulletin, 2015, no. 5, pp. 272–274. (In Russian)
18. Shvedenko V.N., Schekochikhin O.V. Integrated information system architecture providing behavioral feature. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2016, vol. 16, no. 6, pp. 1078–1083. (In Russian) doi: 10.17586/2226-1494-2016-16-6-1078-1083

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