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C3-IoC knowledge base

Product or Programme · All products and programmes
Evidence · 3 claims (3 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 3 claims rest on one study

Description

A curated knowledge base combining IT job advertisements and O*NET occupational data to map technical and non-technical skills to emerging IT roles for career exploration and workforce analysis.

Components

  • **C3-IoC knowledge base built from the IT job corpus and the O*NET general job corpus**: The C3-IoC knowledge base combines two complementary datasets. From the UK 'Find a job' website, crawled weekly from October 2018 to December 2019, "Duplicated jobs were removed, resulting in a corpus of 22,359 jobs"; text mining with a Word2Vec model extended a 100-skill seed list to 902 terms, manually cleaned to "an IT skill dictionary consisting of 195 unique skills", and 26 job roles were identified. From O*NET 2019 (version db_24), "we considered a total of 142 skills and 381 job roles", restricted to roles over 50% of respondents ranked as requiring a Bachelor's degree or higher. (Adán José-García et al. (2023))

Claims

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Key Sources

  • Adán José-García, Alison Sneyd, Ana Melro, Anaïs Ollagnier, Georgina Tarling, Haiyang Zhang, Mark Stevenson, Richard Everson, Rudy Arthur. (2023). C3-IoC: A Career Guidance System for Assessing Student Skills using Machine Learning and Network Visualisation. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-022-00317-y
Page metadata
Field Value
type product
id c3-ioc-knowledge-base
title C3-IoC knowledge base
description A curated knowledge base combining IT job advertisements and O*NET occupational data to map technical and non-technical skills to emerging IT roles for career exploration and workforce analysis.
status review
product_kind dataset
generated by process:settle-candidates on 2026-10-27
trust unverified — no one has confirmed this page's content

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