هستانشناسی سازمانی مبتنی بر عاملهای هوشمند؛ موردمطالعه: بازیگران صادرات دانشبنیان
محورهای موضوعی : فناوری اطلاعات و دانش
محمدرحیم بناکار
1
,
شعبان الهی
2
,
شقایق صحرایی
3
1 - کارشناسی ارشد مدیریت فناوری اطلاعات دانشگاه تربیت مدرس
2 - دانشگاه ولی عصر رفسنجان
3 - گروه مدیریت فناوری اطلاعات، دانشکده مدیریت و اقتصاد، دانشگاه تربیت مدرس
کلید واژه: هستانشناسی, عاملهای هوشمند, مدیریت دانش, تعاملپذیری,
چکیده مقاله :
توسعه هستانشناسی و بررسی نقش عاملهای هوشمند در غنیسازی هستانشناسی میباشد. از طرفی بررسی اسناد تجاری در سازمان توسعه تجارت و آمار صادرات و واردات ایران در چند ساله گذشته این ضرورت را در فضای عملی ایجاد میکند تا راهحل ضعفهای تجاری ایران توسط یک هستانشناسی از بازیگران صادرات دانشبنیان مرتفع شود. روش شناسی: تئوری داده بنیان (مرور نظاممند ادبی) یافتهها: به جهت ایجاد یک فرایند خودکارسازی در توسعه و غنیسازی هستانشناسی از قابلیتهای عاملهای هوشمند میتوان استفاده کرد. برای ارزیابی، خلاصه و جمعآوری کردن مطالعات انجام شده در زمینه هستانشناسی و عاملهای هوشمند و ایجاد تعامل بین این دو موضوع یک مرور نظاممند مورد نیاز است. 9 مفهوم ذیل غنیسازی هستانشناسی به وسیله عاملهای هوشمند شناسایی شدند. نتیجهگیری: درمقاله حاضر به منظور بررسی هستانشناسی سازمانی بازیگران صادرات محصولات دانشبنیان، با هدف ایجاد یک منبع دانشی، حاوی دانش ضمنی و آشکار از بازیگران صادرات محصولات دانشبنیان پرداخته شد. همچنین برای ایجاد یک منبع دانشی مناسب، مصاحبه و مطالعه منابع و مستندات مختلف در این زمینه انجام شد. این هستانشناسی بهعنوان یک منبع دانشی مفید در فرایند صادرات محصولات دانشبنیان کشورهای مختلف به ویژه ایران است. جهت تقویت و توسعه توان صادراتی شرکتهای صادرکنندهی که پتانسیل صادرات را داشته، ولی صادراتی انجام ندادهاند موثر خواهد بود.
To develop ontology and investigate the role of intelligent factors in enriching ontology. On the other hand, the study of trade documents in the Trade Development Organization and Iran's Export and Import Statistics in the past few years creates the need in practice to address Iran's trade weaknesses by an ontology of knowledge-based export actors. Methodology: Grounded theory (Systematic Litreture Review) Conclusion: Ontology is the formal representation of the entities of a particular domain, which makes it possible to represent tacit and explicit knowledge of a particular field as a knowledge base through field research. Intelligent agent capabilities can be used to create an automation process in the development and enrichment of ontology. A systematic review is needed to evaluate, summarize, and compile studies on ontology and intelligent agents and establish an interaction between the two. A search of the database from January 2017 to the end of 2021 identified 38 relevant articles eligible for a qualitative evaluation of 15 articles. Intelligent agents identified the following nine concepts of ontology enrichment.
[1] S. S. Rao and A. Nayak, “Enterprise ontology model for tacit knowledge externalization in socio-technical enterprise,” Interdiscip. J. Information, Knowledge, Manag., vol. 12, pp. 99–124, 2017.
[2] M. Brahimi, “An agents’ model using ontologies and web services for creating and managing virtual enterprises,” Int. J. Comput. Digit. Syst., vol. 8, no. 1, pp. 1–9, 2019, doi: 10.12785/ijcds/080101.
[3] T. R. Gruber, “Toward Principles for the Design of Ontologies,” International Journal of Human-Computer Studies, vol. 43, no. 5–6. pp. 907–928, 1995.
[4] D. Monticolo, I. Lahoud, and P. C. Barrios, “OCEAN: A multi agent system dedicated to knowledge management,” J. Ind. Inf. Integr., vol. 17, p. 100124, 2020, doi: 10.1016/j.jii.2019.100124.
[5] S. Zidat and F. Marir, “An Approach to the Acquisition of Tacit Knowledge Based on an Ontological Model Department of Computer Science , Chahid Mostefa Ben Boulaid , University of College of Technological Innovation , Zayed University , Dubai , United Arab Corresponding Author :,” J. King Saud Univ. - Comput. Inf. Sci., 2018, doi: 10.1016/j.jksuci.2018.09.012.
[6] A. Di Iorio and D. Rossi, “Capturing and managing knowledge using social software and semantic web technologies,” Inf. Sci. (Ny)., vol. 432, pp. 1–21, 2018, doi: 10.1016/j.ins.2017.12.009.
[7] Jan Andreasik, Knowledge management model based on the enterprise ontology for the KB DSS system of enterprise situation assessment in the SME sector, vol. 787. Springer International Publishing, 2019. doi: 10.1007/978-3-319-94229-2_15.
[8] B. Okreša Ɖurić, J. Rincon, C. Carrascosa, M. Schatten, and V. Julian, “MAMbO5: a new ontology approach for modelling and managing intelligent virtual environments based on multi-agent systems,” J. Ambient Intell. Humaniz. Comput., no. 0123456789, 2018, doi: 10.1007/s12652-018-1089-4.
[9] D. Chumachenko and I. Meniailov, “Development of an intelligent agent-based model of the epidemic process of syphilis,” csit, vol. 2, pp. 17–20, 2019.
[10] Y. Wang, L. Wang, and C. Wang, “Research on Ontology-Based Tacit Knowledge Mining for Aerospace Enterprise,” J. Phys. Conf. Ser., vol. 1087, no. 3, 2018,
[11] A. Smirnov, A., Levashova, T. and Kashevnik, Enterprise Ontology for Service Interoperability in Socio-Cyber-Physical Systems. In Enterprise Interoperability VIII, vol. 9. Springer International Publishing, 2019. doi: 10.1007/978-3-030-13693-2.
[12] Y. Chemlal, “Onto-agent-SSSN: An ontology model to facilitate reactive reasoning in multi-agent systems within a business intelligence network,” Int. J. Reason. Intell. Syst., vol. 11, no. 3, pp. 282–291, 2019, doi: 10.1504/IJRIS.2019.102635.
[13] J. U. the blockchain using enterprise ontology. de Kruijff, J. and Weigand, H., 2017, “Understanding the Blockchain Using Enterprise Ontology,” Int. Conf. Adv. Inf. Syst. Eng. Springer, Cham., pp. 29–43, 2017, doi: 10.1007/978-3-319-59536-8.
[14] J. Liu et al., “Grid workflow validation using ontology-based tacit knowledge: A case study for quantitative remote sensing applications,” Comput. Geosci., vol. 98, pp. 46–54, 2017, doi: 10.1016/j.cageo.2016.10.002.
[15] J. Cordeiro, “Analysing Enterprise Ontology and Its Suitability for Model-Based Software Development,” vol. 2, pp. 257–269, 2019, doi: 10.1007/978-3-030-24854-3_19.
[16] M. A. Musa and M. S. Othman, “Knowledge map and enterprise ontology for enhancing business process reengineering in healthcare: A case of radiology department,” Int. J. Enterp. Inf. Syst., vol. 12, no. 2, pp. 26–46, 2016, doi: 10.4018/IJEIS.2016040103.
[17] توقعی، محسن و بهشتزاده کیایی، منیره و رضایی، سپیده، 1395, “بررسی بکارگیری هستانشناسی در ساماندهی جریان دانش ضمنی سازمان,” in همایش ملی دانش و فناوری مهندسی برق، کامپیوتر و مکانیک ایران, 1395, vol. https://ci.
[18] A. M. Pinto-Llorente, M. C. Sánchez-Gómez, and A. Pedro Costa, “Qualitative and Mixed Methods Researches in Social Sciences,” ACM Int. Conf. Proceeding Ser., pp. 193–196, 2020, doi: 10.1145/3434780.3436696.
[19] A. Van Den Berg and M. Struwig, “Guidelines for Researchers Using an Adapted Consensual Qualitative Research Approach in... by Academic Conferences and publishing International - Issuu,” Electron. J. Bus. Res. Methods, vol. 15, no. 2, pp. 109–119, 2017.
[20] Y. Xiao and M. Watson, “Guidance on Conducting a Systematic Literature Review,” J. Plan. Educ. Res., vol. 39, pp. 93–112, 2019, doi: 10.1177/0739456X17723971.
[21] L. K. Nelson, “Computational Grounded Theory : A Methodological Framework,” Sociol. Methods Res., vol. 49, pp. 3–42, 2020, doi: 10.1177/0049124117729703.
[22] R. T. Webster, J. and Watson, “Analyzing the past to prepare for the future: Writing a literature review,” MIS Q., vol. 26, no. 2, pp. xiii–xxiii, 2002.
[23] K. Dal, S. Mendes, R. Cristina, and D. C. Pereira, “USE OF THE BIBLIOGRAPHIC REFERENCE MANAGER IN THE SELECTION OF PRIMARY STUDIES IN INTEGRATIVE REVIEWS,” Texto Context., vol. 28, pp. 1–13, 2019, doi: 10.1590/1980-265X-TCE-2017-0204.
[24] Dermeval, Diego, Jéssyka Vilela, Ig Ibert Bittencourt, Jaelson Castro, Seiji Isotani, Patrick Brito, “Applications of ontologies in requirements engineering : a systematic review of the literature,” Requir. Eng., vol. 21, no. 4, pp. 405–437, 2016, doi: 10.1007/s00766-015-0222-6.
[25] M. Dadkhah, S. Araban, and S. Paydar, “A systematic literature review on semantic web enabled software testing,” J. Syst. Softw., vol. 162, p. 110485, 2020, doi: 10.1016/j.jss.2019.110485.
[26] J. Gharib, M., Giorgini, P. and Mylopoulos, “Towards an ontology for privacy requirements via a systematic literature review,” in 36th International Conference on Conceptual Modeling (ER), 2017, vol. 10650, pp. 193–208. doi: 10.1007/978-3-319-69904-2_16.
[27] F. Messaoudi, R., Mtibaa, A., Vacavant, A., Gargouri, F. and Jaziri, “Ontologies for Liver Diseases Representation : A Systematic Literature Review,” J. Digit. Imaging, pp. 1–11, 2019, doi: 10.1007/s10278-019-00303-2.
[28] H. wiesche, Manuel, Jurisch, Marlen C, Yetton, Philip W and Krcmar, “Grounded Theory Methodology in Information Systems Research,” MIS Q., vol. 41, no. 3, pp. 685–701, 2017, doi: 10.25300/MISQ/2017/41.3.02.
[29] L. & Guba, Competing Paradigms in Qualitative Research. 1994.
[30] J. E. Douglas and M. Bryon, “Interview data on severe behavioural eating difficulties in young children,” Arch. Dis. Child., vol. 75, no. 4, pp. 304–308, 1996, doi: 10.1136/adc.75.4.304.
[31] T. Hovorushchenko and O. Pavlova, Method of activity of ontology-based intelligent agent for evaluating initial stages of the software lifecycle, vol. 836. Springer International Publishing, 2019. doi: 10.1007/978-3-319-97885-7_17.
[32] V. R. Sampath Kumar et al., “Ontologies for industry 4.0,” Knowl. Eng. Rev., vol. 34, pp. 1–14, 2019, doi: 10.1017/S0269888919000109.
[33] [33] Smith, B. (2020) ‘Ontology and Its Applications II’, Iranian Research Institute for Information Science and Technology, 36(1), pp. 271–294.
[34] de Franco Rosa, Ferrucio et al. (2018) Towards an Ontology of Security Assessment: A Core Model Proposal Security assessment ·Information security ·Knowledge formalization ·OWL ·Ontology 12.1 Introduction. Springer International Publishing. Available at: https://doi.org/10.1007/978-3-319-77028-4_12.
[35] Degbelo, A. (2017) ‘A snapshot of ontology evaluation criteria and strategies’, ACM International Conference Proceeding Series, 2017-Septe(September), pp. 1–8. doi: 10.1145/3132218.3132219.
[36] Raad, J. and Cruz, C. (2018) ‘A Survey on Ontology Evaluation Methods’, Quarterly Knowledge and Information Management Journal, 6(2), pp. 25–34. doi: 10.30473/MRS.2020.48615.1402.
[37] Chumachenko, D. and Meniailov, I. (2019) ‘Development of an intelligent agent-based model of the epidemic process of syphilis’, csit. IEEE, 2, pp. 17–20.
