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Software System and Product Integration Algorithm «Government Project»

Received: 28 December 2020    Accepted: 8 January 2021    Published: 22 January 2021
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Abstract

Reasonability of the development of new automated system for semantic data integration basing on analysis of advanced IT resource integration tools and methods is described in this article. Software system and product integration algorithm, called as “Government Project”, is proposed. This algorithm may be applied for automatic data processing. Its implementation is possible basing on computing system destined to take managerial decisions in the project and project portfolio. Technical result of algorithm application means functional expansion and acceleration of information processing. It is possible to implement this algorithm basing on the automated system which consists of server with software, at least one workstation for input of network-interconnected data. Proposed algorithm allows to create the method to process data for decision-making in the project and project portfolio, to accelerate the parameter calculation process, and to ensure guaranteed availability of all parameters required for managerial decision-making, therefore, to provide technical capacity to improve the quality of made decisions with simultaneous decrease of time required for decision-making. The most successful application of claimed automated data processing method for managerial decision-making is industrial application for decision-making and summarizing the projects using computer equipment.

Published in American Journal of Operations Management and Information Systems (Volume 6, Issue 1)
DOI 10.11648/j.ajomis.20210601.11
Page(s) 1-8
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Project Management, Project, Information Systems, Software Products, Integration, Algorithm

References
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[4] Novitskyi A. V. Review of the Certain Directions in Integration of Heterogenous Resources in E-Libraries // The works of 11th Russian Scientific Conference “E-Libraries: Advanced Methods and Technologies, Digital Collections” - RCDL‘2009, Petrozavodsk, Russia. – 2009. – pgs. 350-356
[5] Rajabifard Abbas. Critical issues in global geographic information management with a detailed focused on Data Integration and Interoperability of Systems and Data // Scoping Paper for the 2nd Preparatory Meeting of the Proposed UN Committee on Global Geographic Information Management. New York, USA, May 10-11, 2010. – pgs. 1-14.
[6] Ke-Qing He, Jian Wang, Peng Liang. Semantic Interoperability Aggregation in Service Requirements Refinement // Journal of Computer Science and Technology - JCST, v. 25, No. 6. – 2010. – pgs. 1103-1117.
[7] Ruokolainen Toni. Modelling Framework for Interoperability Management in Collaborative Computing Environments // Department of Computer Science, Series of Publications Report, Helsinki, June 2009.
[8] Polotniuk I. S. Metadata as the Basis for Integration. Journal of Computer and Information Technologies. – 2005. – No. 12.
[9] Bushuev S. D., Bushueva N. S., Babaev I. A., Iakovenko V. B., Hrysha Ye. V., Dziuba S. V., Voitenko A. S. Creative Program and Project Management Technologies: Monograph. - K.: Summit-Kniha, 2010. – 768 pgs.: il.
[10] Semerhanov I. A., Vargin G. V., Muromtsev D. I. Integration of computer systems with the use of ontology // 12th Conference of Open Innovations Association FRUCT. Oulu, Finland, November 5-9, 2012.
[11] Rodriguez-Muro Mariano, Diego Calvanese. Dependencies: Making Ontology Based Data Access Work. In AMW. – 2011.
[12] Sangsoo S. Ontology-based semantic integration of heterogeneous information sources: thesis of doctor of technical sciences. – University of Southern California, 2008.
[13] Maniraj V., Dr. Sivakumar R. Ontology Languages – A Review // International Journal of Computer Theory and Engineering, v. 2, No. 6. – 2010. – Pgs. 887-891.
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  • APA Style

    Ihor Petrovich Zasukha. (2021). Software System and Product Integration Algorithm «Government Project». American Journal of Operations Management and Information Systems, 6(1), 1-8. https://doi.org/10.11648/j.ajomis.20210601.11

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    ACS Style

    Ihor Petrovich Zasukha. Software System and Product Integration Algorithm «Government Project». Am. J. Oper. Manag. Inf. Syst. 2021, 6(1), 1-8. doi: 10.11648/j.ajomis.20210601.11

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    AMA Style

    Ihor Petrovich Zasukha. Software System and Product Integration Algorithm «Government Project». Am J Oper Manag Inf Syst. 2021;6(1):1-8. doi: 10.11648/j.ajomis.20210601.11

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  • @article{10.11648/j.ajomis.20210601.11,
      author = {Ihor Petrovich Zasukha},
      title = {Software System and Product Integration Algorithm «Government Project»},
      journal = {American Journal of Operations Management and Information Systems},
      volume = {6},
      number = {1},
      pages = {1-8},
      doi = {10.11648/j.ajomis.20210601.11},
      url = {https://doi.org/10.11648/j.ajomis.20210601.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajomis.20210601.11},
      abstract = {Reasonability of the development of new automated system for semantic data integration basing on analysis of advanced IT resource integration tools and methods is described in this article. Software system and product integration algorithm, called as “Government Project”, is proposed. This algorithm may be applied for automatic data processing. Its implementation is possible basing on computing system destined to take managerial decisions in the project and project portfolio. Technical result of algorithm application means functional expansion and acceleration of information processing. It is possible to implement this algorithm basing on the automated system which consists of server with software, at least one workstation for input of network-interconnected data. Proposed algorithm allows to create the method to process data for decision-making in the project and project portfolio, to accelerate the parameter calculation process, and to ensure guaranteed availability of all parameters required for managerial decision-making, therefore, to provide technical capacity to improve the quality of made decisions with simultaneous decrease of time required for decision-making. The most successful application of claimed automated data processing method for managerial decision-making is industrial application for decision-making and summarizing the projects using computer equipment.},
     year = {2021}
    }
    

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    AB  - Reasonability of the development of new automated system for semantic data integration basing on analysis of advanced IT resource integration tools and methods is described in this article. Software system and product integration algorithm, called as “Government Project”, is proposed. This algorithm may be applied for automatic data processing. Its implementation is possible basing on computing system destined to take managerial decisions in the project and project portfolio. Technical result of algorithm application means functional expansion and acceleration of information processing. It is possible to implement this algorithm basing on the automated system which consists of server with software, at least one workstation for input of network-interconnected data. Proposed algorithm allows to create the method to process data for decision-making in the project and project portfolio, to accelerate the parameter calculation process, and to ensure guaranteed availability of all parameters required for managerial decision-making, therefore, to provide technical capacity to improve the quality of made decisions with simultaneous decrease of time required for decision-making. The most successful application of claimed automated data processing method for managerial decision-making is industrial application for decision-making and summarizing the projects using computer equipment.
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Author Information
  • Department of Project Management, Kyiv National University of Construction and Architecture, Kyiv, Ukraine

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