The process of choosing an appropriate university is a significant and complex decision for both students and academics. The challenge lies in efficiently navigating and interpreting the vast amount of unstructured and semi-structured data available online. To tackle this issue, this paper introduces a sophisticated decision support system designed to aggregate and integrate data from diverse sources, such as university websites and other online platforms. This system employs semantic web technologies and various datasets for automatic information extraction, facilitating a more streamlined data analysis process. Key attributes such as research output, student demographics, geographical location, and overall rankings are utilized as parameters for data integration. The system is equipped with a user-friendly interface that offers customizable visualization tools. These tools enable users to prioritize and compare universities based on their individual preferences effectively. For empirical validation, we gathered and analyzed data from 301 universities in the United Kingdom, employing both manual and automated techniques for information extraction. The outcomes of this study underscore the efficiency and practicality of our approach in simplifying the university selection process for potential students and faculty members. Overall, this system presents itself as an invaluable resource for informed decision-making in the domain of higher education.