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JobTeaser: Building Tailored User Profiles for Career Navigation with Ontologies

JobTeaser used Graphwise’s Data Management Suite to build ontologies and controlled vocabularies, including the ESCO taxonomy, which powers their psychometric tools, resulting in the seamless integration of internal and external data and enabling high-performing career assessments, tailored user profiles, and an enhanced career navigation experience for students.

The Client

AI platform for workplace transformation offering career services across Europe with a suite of psychometric tools helping students and job seekers develop profile-unique career journeys based on their professional interests, skills, and values.

The Challenge

JobTeaser needed to integrate diverse data sources from both internal proprietary taxonomies and external standards. The company also had to map complex semantic relationships between job roles, skills, and competencies, and enable non-technical teams to manage vocabularies efficiently.

The Solution

Graphwise’s Data Management Suite served as the central ontology management platform, using linked open data to integrate external data sources like ESCO taxonomy with JobTeaser's thereby enabling semantic concept definitions for job roles and skills and offering an intuitive user interface for collaboration among taxonomists, data scientists, and web development teams.

Technical capabilities

  • Linked data integration matching internal JobTeaser taxonomies with ESCO skills, qualifications, and occupations taxonomy
  • Ontology modeling defining semantic relationships between job roles, soft skills, hard skills, professional dimensions, and career domains

Business outcomes

  • Precise career matching with algorithms detecting subtle nuances between similar concepts based on user profiles  
  • Streamlined workflows with controlled vocabulary easing collaboration between data teams, taxonomists, and external web agencies

The Challenge

JobTeaser faced the challenge of building a suite of psychometric tools that could provide comprehensive career profiles going beyond traditional CVs and cover letters. Creating tools like Marco (professional interests), Vasco (job matching), Freya (occupational values), and Hester (soft skills) that work together effectively presented significant obstacles.

The primary challenge was integrating a vast array of sources – both internal and external – in one place. JobTeaser needed to combine their proprietary taxonomy with ESCO (the official multilingual taxonomy of skills and occupations in Europe), psychological theories, external research, scientific modeling, and analytics. 

Additionally, working with career and skills data meant handling inherent ambiguity as different organizations define the same roles and skills differently, and the system needed to accommodate these variations. Product and data teams struggled to make connections between concepts without a controlled vocabulary that could standardize this diverse information while remaining accessible to taxonomists, data scientists, and web developers.

The Solution

JobTeaser used Graphwise’s Data Management Suite as the “orchestrator and source of truth” where concepts and vocabulary can be recalled for scoring metrics in the applications.

Linked open data supplements company taxonomy with ESCO skill and career taxonomy, psychological studies, and other external sources. The integrated ESCO terms are matched against internal taxonomies so that tools can continuously reference both proprietary and standardized data in one unified system.

Job roles, skills, and professional dimensions are defined in semantic concepts. Each job role is a concept bundling all its details – for example, “Social Media Specialist” includes soft skills, hard skills, professional dimension, and career domain. This enables the tools to easily determine user profiles based on bundled skills.

The ontology editors map relationships between classes and attributes, creating a framework for assessments. The details determine “what it is, and what it is not,” enabling accurate job recommendations without overlap.

The Impact

“There would be no way to integrate the information into our products [without Graphwise’s Data Management Suite] because all the data points we measure for students are outside the JobTeaser ecosystem.”

François Violette, Product Manager and Senior Information Architect at JobTeaser

Graphwise’s Data Management Suite has enabled JobTeaser’s assessments to detect subtle nuances between similar concepts with remarkable precision. In the Marco tool, a person scoring “Innovator” first and “Organizer” second has a different profile than if these positions are reversed.

The Vasco tool, dubbed the “Business Tinder,” learns and adapts as it presents job roles based on user profiles, creating an increasingly personalized experience. Here the suite serves as the centerpiece streamlining collaboration across taxonomists, data scientists, and development partners.

Together, these capabilities have transformed how JobTeaser delivers career guidance to students across Europe. With the suite’s multilingual capabilities, the platform has successfully expanded from French to English and German, enabling JobTeaser to continue their mission of making career navigation intuitive and accessible for students throughout the continent.

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Facing Similar Challenges?

Struggling with integrating internal and external data sources, mapping complex semantic relationships, or making ontologies accessible to non-technical teams?

Whether you're building career services platforms, skills management systems, or HR technology solutions, Graphwise can help you:

  • Integrate external taxonomies like ESCO with proprietary company data through linked open data  
  • Define job roles, skills, and competencies as semantic concepts with rich relationship mapping  
  • Use intuitive ontology editors to express complex relations between concepts without technical expertise  
  • Enable high-performing assessments that detect subtle nuances and deliver personalized recommendations

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