ESCO: Towards a Semantic Web for the European Labor Market

نویسندگان

  • Johan De Smedt
  • Martin le Vrang
  • Agis Papantoniou
چکیده

The Semantic Web has a huge potential when it is used to organize market processes. The labour market is an excellent example where it can add value. By enhancing communication between employers and job seekers in the digital age, market processes become more efficient and more people can find the right jobs for them. The multilingual classification of European Skills, Competences, Qualifications and Occupations (ESCO) is a central building block for an ecosystem of semantic assets on the labour market. In this paper we explain how the ESCO data model was designed, building on the Simple Knowledge Organization System. We further explain how new versions of the datasets are published and how they can be used by applications. Finally, we summarize the next steps in the on-going work on ESCO.

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تاریخ انتشار 2015