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Skills Intelligence
Overview
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Skills Intelligence APIsđź”—

Introductionđź”—

The Skills Intelligence APIs provide various functionalities around Textkernel's knowledge base of professions and skills. The APIs can be employed to:

  • Extract and normalize skills from any HR-related text to pre-populate skill profiles.
  • Improve analytics by standardizing skill and job data to Textkernel's comprehensive, cross-lingual taxonomies.
  • Import Textkernel's taxonomies of skills and professions in your organization's tools and processes.
  • Create smart matching solutions by leveraging Textkernel's extensive knowledge base on synonyms and profession-skill relations.
  • Automatically enrich job architectures and job catalogues with suggestions of relevant skills.
  • Generate skill-based recommendations of (non-obvious) job transitions.
  • Understand the skill gap between two professions, or between a current skill set and an aspired next role.
  • Extract skills from training descriptions, and leverage those for targeted upskilling recommendations.

Authenticationđź”—

The credentials you receive from your Textkernel consultant give you access to one or multiple APIs. See the authentication page for details.

Skills APIđź”—

The Skills API builds upon Textkernel's Skills Taxonomy. 

It serves to:

  • extract skills from any text
  • normalize skill descriptions to Textkernel's Skills Taxonomy
  • autocomplete user input to skills in the taxonomy
  • export the structure of the taxonomy
  • translate skills between any of the supported languages

Professions APIđź”—

The Professions API builds upon Textkernel's Professions Taxonomy. 

It serves to:

  • normalize job titles to Textkernel's Profession Taxonomy, and to external standards such as O*NET and ISCO
  • autocomplete to professions in the taxonomy
  • export the structure of the taxonomy
  • translate professions between any of the supported languages

Ontology APIđź”—

The Ontology API exposes relations between the professions and skills in Textkernel's taxonomies. These relations have been learned from over 60 million vacancies.

It serves to:

  • suggest relevant skills given a profession
  • suggest relevant professions given a skill set
  • infer the skill gap between two professions, or between a current skill set and a profession
  • suggest related skills to a given skill set
  • compute the similarity between two skill sets