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Building a skill recommender system for the job matching app Employchain by integrating the ESCO ontology

BlockchainX AB
Data Space, Skills


Almost 50 % of adult workers in the EU are not satisfied or only moderately satisfied with their qualifications and skills job match in the labor market, according to CEDEFOP’s 2021 European skills and jobs survey. Moreover, the COVID-19 pandemic has accelerated the skills mismatch in the EU, not only because of the higher dynamics of structural change, but also because of the turn of mindset that existentially affected workers have undergone.

Employchain is a Tinder-like job matching app from Sweden that matches skills supply and demand in the labor market. In this experiment, a skill recommender system is developed which is based on a knowledge graph that is enriched with all Swedish higher education learning opportunities and their learning outcomes mapped to ESCO skills. This enables much more accurate representation and matching of education-related CV data.


I-Space Coach


I-Spaces Involved

Main Objectives

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 on the one hand and the labor market needs on the other.

Main innovations

The main innovation is the development of a knowledge graph that integrates learning opportunities by the Swedish National Agency for Education and their learning outcomes defined by the different education providers into a common ontology based on ESCO skills. The new ontology enables the construction of a skill recommender system that identifies the skills and knowledge a learner has acquired through their qualification.


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.

Key Exploitable Results (KERS)

The Key Exploitable Result of this experiment is the realization of a skill recommender system that supports students and job seekers in describing their skill set. This enables more accurate matches with job openings in Sweden and the EU.

Technical KPIS
  • Number of classified learning opportunities (study programs) and Swedish qualifications in the ontology
  • New links between learning outcomes of qualifications and ESCO skill concepts


BlockchainX AB is a tech startup founded in Sweden in 2019. With its job-matching app Employchain, the company aims to facilitate data-driven matchmaking of skills supply and demand in the European labor market.