Published Paper Details:

E-governance plays a crucial role in enhancing the efficiency, transparency, and accessibility of government services, which are being increasingly driven by digital transformation initiatives worldwide. Despite substantial investments, governments face challenges in integrating fragmented datasets, resolving inconsistencies across departments, and scaling services to meet the growing demands. This study explores the potential of Semantic Web technologies, specifically the Resource Description Framework (RDF) and Web Ontology Language (OWL), in addressing these challenges by enabling structured, interoperable, and machine-readable datasets. By leveraging semantic reasoning, data exchange protocols, and ontology-driven automation, RDF and OWL enhance interoperability, foster informed decision-making, and facilitate intelligent governance solutions. The proposed framework aligns with global initiatives, such as Open Government Data and Smart City programs, as well as suitable and long-term development goals, promoting accountable and citizen-centric governance in the process. Through experimental use cases, architectural design, and a review of the existing literature, this study demonstrates the feasibility and transformative impact of integrating Semantic Web technologies into government systems, thereby contributing to more transparent, efficient, and inclusive public services.