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
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