EMPLOYCHAIN_ESCO: BUILDING A SKILL RECOMMENDER SYSTEM FOR THE JOB MATCHING APP EMPLOYCHAIN BY INTEGRATING THE ESCO ONTOLOGY
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- EMPLOYCHAIN_ESCO: BUILDING A SKILL...
Almost 50 % of adult workers in the EU are not satisfied with their qualifications and skills job match in the labor market. Employchain is an pp that matches skills supply and demand in the labor market. In this experiment, a skill recommender system is developed. It is based on a knowledge graph enriched with all Swedish higher education learning opportunities and their learning outcomes mapped to ESCO skills.
Start date: 05/01/2022
Duration in months: 9
Problem Description
The experiment establishes a skill recommender system to contribute to a common European skills data space to reduce the skills mismatches between the education and training system and the labor market needs.
Goals
New services
Challenges
Employchain aims to improve awareness and common understanding of skills terminology in the education sector and labor market across Europe. Our long-term vision is to create an automated and transparent matching ecosystem where skills supply and demand are represented on a knowledge graph in real-time, empowering stakeholders to adapt to each other’s needs more quickly and accurately.
Innovation results
The main innovation is the development of a solution that integrates the learning opportunities of the Swedish National Education Agency and the learning outcomes defined by the different education providers into a common ontology based on ESCO skills. The new ontology allows to build a system of competence recommendation that identifies the skills and knowledge acquired by a learner through his or her qualification.
Business impact
confidential