This article explores the agency of technology in knowledge production, focusing on tools for visualizing RDF(S) and OWL-based ontologies. Drawing on Actor-Network Theory, the study examines how these tools mediate the creation, representation, and interpretation of knowledge. Findings highlight significant limitations, including the absence of standardized visual symbols, constraints imposed by ontology editors, and challenges in visualizing large-scale knowledge graphs. These limitations not only hinder users’ ability to create and analyze complex semantic constructs but also shape systemic processes of knowledge acquisition and dissemination. The study emphasizes the active role of technological tools in co-constructing knowledge and underscores the need for improved designs to enhance cognitive engagement, semantic expressiveness, and systemic efficiency. Addressing these gaps is essential for advancing the utility and impact of semantic technologies in data-driven and decision-critical environments.