Technologies, trends and theories:
knowledge at the cutting edge.

Our knowledge base contains information, interesting facts and selected articles on the latest trends and current developments on global labor markets and in the world of semantic technologies relating to human resources and recruitment, occupation (big) data and ontologies / knowledge graphs, job classifications, CV parsing, skills and job matching and much more.

Let the women calculate: Why Public Employment Services should convince women of STEM subjects

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Despite many efforts, young women are still under-represented in science, technology, engineering and mathematics (STEM). Studies show that many advantages can be achieved by completing a STEM degree, both for individuals and for entire countries. Public Employment Services should therefore effectively strengthen the STEM sector. There are various reasons why:

Many employees with a STEM degree earn higher salaries. The US Bureau of Labor Statistics emphasizes that 93 out of 100 STEM occupations have wages above the US average.  » Read more about: Let the women calculate: Why Public Employment Services should convince women of STEM subjects  »

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Change or die – Four issues for the multifaceted future of PES

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It is the dominant topic when it comes to today’s digital HR processes: how to develop better, more efficient, up-to-date tools and technologies for matching, which solve the various tasks and challenges in a more customer-oriented manner. Separating the wheat from the chaff is a very demanding task. If today’s technological choice is not up to the task of shaping the future, then this has a strong impact on matching. In particular, problems will be pushed forward into the future because matching means understanding the challenges a labor market faces.  » Read more about: Change or die – Four issues for the multifaceted future of PES  »

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How can person and job be matched for the perfect date?

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It is extremely difficult to match one person with another by using technology to send them on a date. There will be numerous factors and expectations that have to be taken into account. Do they have similar interests? Are they living in the same area? What are their goals? And then there are plenty of hidden expectations regarding things such as appearance. Matching has always been a complex task.
The same is true when it comes to bringing together the right person for the right job.  » Read more about: How can person and job be matched for the perfect date?  »

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ESCO: We expected an ontology – we got a disappointing term collection

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Almost four years had passed. We have waited for a long time – and we were curious to see what the EU has announced grandiosely. Steadily excited to see if it solves well-known problems of classification systems. The classification of the European Union for occupational data is called “ESCO” (European Skills, Competences, Qualifications and Occupations). Up to now, classifications have been solved by all states on their own, such as ROME in France or KLdB in Germany or CP in Italy.  » Read more about: ESCO: We expected an ontology – we got a disappointing term collection  »

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Our Article on the “Google for Jobs” Initiative Now Also Available in French, Spanish and Arabic!

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The landscape of online job search has gained a significant addition with wide-ranging implications. In line with its recently announced initiative Google for Jobs, Google launched a new jobs search feature right on its search result pages that lets you search for jobs across virtually all of the major online job boards. Google’s new initiative not only has the potential to disrupt the online job search market, but the initiative’s underlying data model, an occupation ontology,  » Read more about: Our Article on the “Google for Jobs” Initiative Now Also Available in French, Spanish and Arabic!  »

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