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Informative Article | Science and Technology | India | Volume 9 Issue 1, January 2020 | Rating: 3.7 / 10
Synthesizing Job Market Data: Building a Unified Repository Using ONET and ESCO
Abstract: The objective of this research is to develop a comprehensive repository of job titles and descriptions by synthesizing data from two prominent labor market databases: ONET (Occupational Information Network) and ESCO (European Skills, Competences, Qualifications, and Occupations). This study explores the methodologies and frameworks utilized by both databases to categorize and describe job titles, aiming to integrate their respective strengths into a unified repository. By analyzing the classification systems, terminology, and data structures of ONET and ESCO, we identify commonalities and differences, which inform the development of a harmonized dataset. Additionally, we employ cosine similarity, calculated using Word2Vec trained on Wikipedia and a large corpus of job titles and descriptions, to measure the similarity between job descriptions from the two databases, facilitating the integration process. The resulting repository provides a valuable resource for job seekers, employers, and workforce development professionals, facilitating more precise job matching and career planning. This research also highlights the potential benefits and challenges of merging data from multiple sources to enhance labor market intelligence, underscoring the im- portance of standardized job descriptions and the role of integrated databases in supporting labor market analysis and policy-making.
Keywords: job titles, labor market, data integration, job descriptions, labor market intelligence
Edition: Volume 9 Issue 1, January 2020,
Pages: 1942 - 1946