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NAV selects JANZZ’s ontology-based solution for modernizing its labour market platform.

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The Norwegian Labour and Welfare Administration (NAV) has selected the Swiss technology company JANZZ in a public tender process to deliver components for its new labour market platform. JANZZ has won the bidding process against international competition and will support NAV with its expertise in occupation and skills related data.
NAV is adapting its self-service platform as part of its agenda to improve the transition of jobseekers into employment. NAV aims to offer a transparent service for all labour market operators and participants in which all users can utilize the services on the same terms.  » Read more about: NAV selects JANZZ’s ontology-based solution for modernizing its labour market platform.  »

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Google Launches its Ontology-powered Jobs Search Engine. What Now?

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This week, 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,  » Read more about: Google Launches its Ontology-powered Jobs Search Engine. What Now?  »

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Building a Job Matching Engine for the Global Labor Market

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Understanding resumes and job ads, and finding the best matches among a great number of them is probably one of the most challenging tasks for machines today. The results and the precision of search and matching processes are dependent upon the scope and depth as well as the quality and comprehensiveness of the applied contextual and background knowledge.
Job postings are often worded in industry- and company-specific jargon that job seekers do not search for and would not use when writing their resumes.  » Read more about: Building a Job Matching Engine for the Global Labor Market  »

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How an Ontology Can Help with Content-based Matching

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Job and candidate search, job recommendations and automated candidate evaluations have one thing in common. They are a matching problem.
Simply put, given a set of CVs and a set of vacancies, the most similar items should match, that is, these items should come out at the top of the search, recommendation or evaluation. Most applications use either of two high-level approaches to achieve this: behavior-based or content-based. They each have pros and cons, and there are also ways to combine the approaches to take advantage of both techniques.  » Read more about: How an Ontology Can Help with Content-based Matching  »

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Industry Taxonomies Enhanced by JANZZ’s Occupation Ontology

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At the heart of JANZZ.technology’s ontology of occupations and skills, there are over 35 taxonomies, among which occupation, skills and industry taxonomies like O*Net, ESCO, NAICS and ISCO-08. They are mapped by the JANZZ curation team to form a single entity that serves as a relational model for a great part of the world’s economic activity. As part of the latest additions to the occupational ontology JANZZon!, the curation team has inserted the two industry classifications GICS and ICB into the ontology,  » Read more about: Industry Taxonomies Enhanced by JANZZ’s Occupation Ontology  »

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