Dynamic Jobs-Skills Knowledge Graph Methodology

This document is a research article that presents a methodology for constructing a dynamic Jobs and Skills Knowledge Graph (JSKG) aimed at enhancing the understanding of the relationship between occupations and skills. The paper addresses the challenges faced by adult learners and organizations in navigating the complex landscape of skill requirements in the job market. It outlines the integration of labour market data, expert knowledge, and taxonomies into a temporal knowledge graph framework, which evolves over time to reflect changing skill demands. The JSKG is built upon the Singapore SkillsFuture Skills Framework and utilizes data analytics techniques to refine and update the knowledge base, ensuring it remains relevant to the needs of the Singaporean economy. The authors discuss the importance of combining unstructured data from job postings with structured knowledge to facilitate effective skills matching and career pathfinding. The document also highlights the role of knowledge graphs in representing complex relationships between skills and occupations, contributing to a more informed workforce development strategy.