As governments worldwide increasingly transition toward digital platforms to enhance service delivery and citizen engagement, the selection of appropriate e-government services becomes a critical aspect of effective governance. This research provides an in-depth analysis and framework for service selection in e-government, addressing the challenges and complexities inherent in this crucial decision-making process. By integrating theoretical perspectives with empirical evidence, the study offers a comprehensive understanding of the factors affecting service selection, thereby offering valuable insights for policymakers, practitioners, and researchers in the field of e-governance. The research aims to develop a technological framework that emphasizes the curation and improvement of high-quality services within the e-government context, ultimately enhancing service delivery. A mixed-methods approach is employed, combining qualitative (survey) and quantitative (mathematical metrics) methodologies to evaluate the quality of e-government services. This methodology systematically organizes and classifies various services according to their significance and demand, culminating in effective service identification and selection. The paper details the essential activities of domain identification and service selection, providing clarity on the complex process of evaluating service quality within the e-government framework.