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The opinions and arguments expressed herein are those of the authors and do not necessarily reflect the official views of European Centre for the Development of Vocational Training and the European Commission.  \nThe content has not been edited nor proofread by Cedefop's editing service.  \n© Cedefop, 2026  \nThe reuse of this document is authorised under the Creative Commons Attribution 4.0 International (CC BY 4 .0) licence. This means that reuse is allowed, provided appropriate credit is given and any changes made are indicated. For any use or reproduction of photos or other material that is not owned by Cedefop, permission must be sought directly from the copyright holders.  \nDOI 10.5281/zenodo.20656597  \nPlease cite this publication as:  \nCedefop. (2026) . Harnessing web data for next-generation skills intelligence Book of abstracts. Cedefop. [https://doi.org/10.5281/zenodo.20656597](https://doi.org/10.5281/zenodo.20656597)  \nTable of contents  \nForeword............................................................................................................ 7  \nAcknowledgements........................................................................................... 8  \nA Hybrid Semantic Normalization Framework for Mapping Multilingual Job Postings to European Taxonomies .......................................................... 9  \nA methodological focus on skills analysis: experimentations with lexicometry and Natural Language Processing ................................................................ 11  \nA Vacancy Data-Driven Institutional Ecosystem: Bridging the EducationEmployment Gap through Real-Time Skills Intelligence ......................... 12  \nAgent-Based Knowledge Graph-Augmented Skills Extraction from Online Job Advertisements ...................................................................................... 14  \nAI-Complementary Skills: Real-Time Evidence from Italian Job Postings .......... 16  \nBeyond Composite Indices: Using Online Job Advertisements to Reveal GenderBlind Spots in Skills Intelligence ............................................................. 18  \nBridging Skills Demand and Vocational Qualifications: Linking Online Job Postings with National Skills and Qualification Frameworks ................................. 20  \nBuilding a Common Language for the Twin Transition: Reference Frameworks for Digital and Green Skills .......................................................................... 22  \nBeyond Green Jobs: How Climate Policies Reshape Skill Demand................... 24  \nDigital Skills Demand in Greece: Labour Market Analysis Using Online Job Vacancies .............................................................................................. 25  \nDisruption or Augmentation? The Changing Demand for AI Skills in the Age of Generative AI ......................................................................................... 27  \nFrom Web Data to Actionable Skills Intelligence: A Three-Stage Architecture for Europe’s Advanced Digital Skills ............................................................ 28  \nHarnessing web data for next-generation skills intelligence in the UK ............... 30  \nImbalance and talent shortage in the Catalan labor market: survey insights and comparison with OJAs ........................................................................... 32  \nLeveraging Machine Learning for Personalized Labor-Market-Relevant Training Pathway Recommendations in Serbia.................................................... 34  \nMapping Digitalization through Skill Demand: Firms, Sectoral, and Regional Labor Market Insights in Italy ........................................................................... 36  \nMind the AI gap: A Stage-Based Human Capital Framework for the Fourth Industrial Revolution ...................................................................","cbCaidbWlRFEs1Iz","https://ap.wps.com/l/cbCaidbWlRFEs1Iz","pdf",591561,"English","# Foreword\n# Acknowledgements\n# A Hybrid Semantic Normalization Framework for Mapping Multilingual Job Postings to European Taxonomies\n# A methodological focus on skills analysis: experimentations with lexicometry and Natural Language Processing\n# A Vacancy Data-Driven Institutional Ecosystem: Bridging the EducationEmployment Gap through Real-Time Skills Intelligence\n# Agent-Based Knowledge Graph-Augmented Skills Extraction from Online Job Advertisements\n# AI-Complementary Skills: Real-Time Evidence from Italian Job Postings\n# Beyond Composite Indices: Using Online Job Advertisements to Reveal GenderBlind Spots in Skills Intelligence\n# Bridging Skills Demand and Vocational Qualifications: Linking Online Job Postings with National Skills and Qualification Frameworks\n# Building a Common Language for the Twin Transition: Reference Frameworks for Digital and Green Skills\n# Beyond Green Jobs: How Climate Policies Reshape Skill Demand\n# Digital Skills Demand in Greece: Labour Market Analysis Using Online Job Vacancies\n# Disruption or Augmentation? The Changing Demand for AI Skills in the Age of Generative AI\n# From Web Data to Actionable Skills Intelligence: A Three-Stage Architecture for Europe’s Advanced Digital Skills\n# Harnessing web data for next-generation skills intelligence in the UK","[{\"question\":\"What is the focus of this book of abstracts?\",\"answer\":\"It focuses on using web data to generate next-generation skills intelligence and to support skills development and matching policies.\"},{\"question\":\"Which types of data and methods are discussed?\",\"answer\":\"It discusses online job advertisements and related datasets, using techniques such as semantic normalization, lexicometry, natural language processing, machine learning, and knowledge graph-based extraction.\"},{\"question\":\"How do the abstracts address policy and decision-making needs?\",\"answer\":\"They show how web-derived skills evidence can inform policy makers, employers, workers, learners, and skills ecosystem stakeholders, including through architectures for actionable intelligence and curriculum or training guidance.\"}]","Harnessing Web Data for Next-Generation Skills Intelligence - Book of Abstracts | PDF",1792046904,151]