A Web-based Information Management System for Scientific Research

The database system is critical in information management because it has the ability to significantly improve information organization accuracy and productivity. To protect against business competitors, business units currently need more knowledge and technological data. In solving this issue for companies, the database management system plays a major role. However, traditional database management systems usually struggle to cope competently with the overwhelming number of data and knowledge, generating the obstacle of information apprehension. This paper therefore proposes an incorporated method by integrating artificial intelligence technique with the computer database for the development of an information management system for scientific research. In the suggested method, the information modeling of the framework has three stages of construction. This research also includes a case study of the integrating computer database for collecting research data.