Identifying Smart Community Resilience Professional Roles Using Text Embeddings and Skill Similarity Analysis

This study proposes a data-driven approach to identifying and structuring the skills associated with emerging smart community professions by leveraging ESCO classification, MPNet-based text embeddings and cosine similarity analysis. The extracted skills were subsequently organised into thematic groups to provide a structured overview of the competence domains required for each role. In addition, several transformer-based text generation models were employed to generate structured occupational descriptions based on the identified skills and competence clusters. The results of this process led to the formalisation of two new occupational profiles designed to support resilience-oriented SCOs: the Smart Community Resilience Engineer (SCRE) and the Smart Community Resilient Solutions Procurer/Planner (SCRSP). These profiles aim to bridge existing gaps between technological innovation, governance processes, and resilience planning in smart community ecosystems. Keywords: Smart City, Smart Community, Resilience, Skill Framework, Text-embedding.