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Development of Incubation Center Information Management System Model Using Ontology and Data Integration Technique

Ezurike Onyewuchi, Agbakwuru Onyekachi A, Amanze Bethran C

Abstract

The efficient management of information within Technological Incubation Centers (TICs) is critical for fostering innovation, supporting startups, and promoting sustainable economic growth. This paper presents the development of a Technological Incubation Center Information Management System (TICIMS) that integrates ontology-based modeling and data integration techniques to enhance information handling, decision-making, and strategic planning within incubation environments. The system employs ontologies to formally define and represent core domain concepts—such as incubatees, mentors, funding opportunities, infrastructure, and support services—enabling semantic interoperability and consistent data interpretation across various platforms. To address the challenge of data heterogeneity, data integration methods are implemented to unify information from multiple internal and external sources, including administrative systems, financial databases, and governmental innovation frameworks. This ensures data consistency, reduces redundancy, and improves accessibility. The architecture includes a semantic layer for advanced querying and knowledge discovery, allowing stakeholders to extract meaningful insights and automate reasoning over complex datasets. Through the combination of semantic technologies and integrated data frameworks, the system significantly improves operational efficiency, transparency, and scalability in incubation center management. The research demonstrates the feasibility and advantages of adopting semantic web and data integration approaches in the digital transformation of innovation and entrepreneurial support systems.

Keywords

incubation centersOntologiesIncubateesMentorsNLP

References

CSES (2017). Benchmarking of Business Incubators.’Sevenoaks: Centre for Strategy and Evaluation Services Hussler, C., Picard, F. (2020). Taking the ivory from the tower to coat the economic world: Regional strategies to make science useful. ‘Technovation.’ 30: 508-518 Phan, P. H., Siegel, D. S., et al. (2018). Science parks and incubators: observations, synthesis and future research. ‘Journal of business venturing.’ 20: 165-182 Hansen, M. T., Chesbrough, H. W., et al. (2020). Networked Incubators: Hothouses of the New Economy. ‘Harvard Business Review.’ September/October. Allen, D. N. and Rahman, S. (2017). Small Business Incubators: A Positive Environment for Entrepreneurship. ‘Journal of Small Business Management.’ 23(3): 12-22 Kuan, V., Denaxas, S., Gonzalez-Izquierdo, A., Direk, K., Bhatti, O., Husain, S., Parisinos, C. (2019). A chronological map of 308 physical and mental health conditions from 4 million individuals in the English National Health Service. The Lancet: Digital Health, 1(2), e63- e77. doi:10.1016/S2589-7500(19)30012-3 Boyi, X., Li, D., Hongming, C., Cheng, X., Jingyuan, H., and Fenglin, B. (2014). Ubiquitous Data Accessing Method in IoT-Based Information System for Emergency Medical Services, ” IEEE transactions on industrial informatics, vol. 10. Rosse, C. ,Mejino, J.L.V. (2013). A reference ontology for biomedical informatics: the Foundational Model of AnatomyJ Biomed Inform, 36 (2003), pp. 478-500 Article Download PDF View Record in Scopus Google Scholar Bianchi, S. et al., (2019). Biomedical data integration - capturing similarities while preserving disparities,” Conf. Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. IEEE Eng. Med. Biol. Soc. Annu. Conf., vol. 2019, pp. 4654–4657, 2019. Ouwens, M. ,Wollersheim, H. , Hermens, R. , Hulscher, M. , Grol, R. (2015). Integrated care programmes for chronically ill patients: a review of systematic reviews.Int J Qual Health- Care, 17 (2) (2005), pp. 141-146 Binggui, Z., Guanghua, Y., Zheng, S., and Shaodan, M. (2022). Natural Language Processing for Smart Healthcare. Department of Electrical and Computer Engineering, University of Macau, Macao 999078, China Amineh, A., Hadi, S., Nasser, N. (2018). A RDF-based Data Integration Framework" NEEC 2008 www.1211.6273.pdf/ retrieved on May 23, 2021 Marut, B. (2016). Ontology-based Clinical Reminder System to Support Chronic Disease Healthcare. Article in IEICE Transactions on Information and Systems · March 2016 DOI: 10.1587/transinf.E94.D.432 · Source: DBLP Bostjan, G., Vili, P. (2014). Automating ontology-based information integration using service orientation. Faculty of electrical engineering and computer science University of Maribor Smetanovaulica 17, 2014 Maribor SLOVENIA Ali, Z. (2018). A Mapping Approach for Fully Virtual Data Integration System Processes. (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 9, No. 12, 2018 Vinoth, K. (2019). Ontology based Public Healthcare System in Internet of Things. 2nd International Symposium on Big Data and Cloud Computing (ISBCC’19). Available online at www.sciencedirect.com Rick, V. D. L., (2012). Data Virtualization for Business Intelligence Systems”, www.r20.nl Retrieved from www.3-s2.0-B978...000010.pdf/ on Dec.7, 2012 Jagannathan, R., Petrovic, S. (2019). Dealing with missing values in a clinical case- based reasoning system. In international conference on computer science and information technology (pp. 120-4).IEEE. Mukhtar, M., Fransiska, A. B. &Wahyudi, M. (2018). Management information systems doctorate program of educational management (DOCPEM). 2018 6th International Conference on Cyber and IT Service Management (CITSM), 1–5. https://doi.org/10.1109/CITSM.2018.8674314

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