In TIAMAT, a workflow-based Foresight Support System (FSS), the lack of a standard for integrating foresight methods – such as Brainstorming, Futures Wheel, Roadmap, and Scenarios – requires manual conversions between steps, leading to rework, inconsistencies, and loss of efficiency. As a solution, this work proposes the use of the Dublin Core as a semantic mediation layer for data exchange among TIAMAT’s methods. The results of each method are mapped to Dublin Core elements (e.g., Title, Creator, Description, Date, Type, Format), producing metadata structured in JSON, which are generated and stored in TIAMAT’s database and automatically retrieved as inputs for subsequent workflow steps. The research follows the Design Science Research methodology and includes two Rapid Reviews: (i) to identify interoperability challenges in FSS and (ii) to assess the applicability of the Dublin Core for method integration. The solution, implemented in TIAMAT and validated through illustrative scenarios and case studies, demonstrated consistent output capture, automatic data transition between methods, and reduced manual intervention. The use of the Dublin Core as a semantic mediation layer mitigates integration barriers, enables automated workflow chaining, and provides an architecture generalizable to other FSS and similar applications.