In the era of digital health, ensuring intelligent collaboration and engagement within online health communities (OHCs) is essential for optimizing information flow and decision-making. This paper introduces a Semantic Web–based, event-driven framework that formalizes community interactions through ontological modeling. By extending established vocabularies such as FOAF and SIOC, the proposed approach defines semantic classes and properties to represent social constructs, including collaboration, self-esteem, trust, and expertise recognition. These representations enable the systematic capture and reasoning of user interactions, supporting advanced query mechanisms and knowledge inference. Integrating Semantic Web technologies with Web 2.0 environments provides a dynamic and interoperable infrastructure for analyzing community behavior and enhancing governance. This framework contributes to the computer science domain by offering a scalable, machine-understandable model for managing complex digital ecosystems, promoting transparency, user engagement, and adaptive knowledge management in online healthcare contexts.