Matching Talent to the Jobs of Tomorrow A Guidebook for Public Employment Services 2025

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Glossary (4/4) Term Generic definition Applied to job matching ParsingThe process of analysing a string of symbols.Term Generic definition Applied to job matching Parsing The process of analysing a string of symbols. Parsing is the ability to extract skills, experiences and contact details from textual data like resumes. Pivot ontology A pivot ontology is a centralized framework used to align and integrate multiple, diverse ontologies. It acts as an intermediary that standardizes how different datasets or systems interpret and communicate concepts, ensuring interoperability and consistency.A pivot ontology can standardize diverse taxonomies from different countries by mapping them to a unified framework. Semantic analysis Semantic analysis is the process of understanding the meaning and interpretation of words, phrases and sentences in the context of the languages they are used in.Semantic analysis ensures better job candidate alignment by illuminating the intent and context of job descriptions and resumes, unlike keyword-based matching. Skills taxonomy This is a structured classification of skills, used to standardize and organize skills data across platforms and industries.It standardizes how skills are categorized and matched, ensuring consistency. Unlike ontologies, it does not capture relationships or contexts. Token A token is a digital asset created and managed on a blockchain platform. Tokens can represent a wide range of assets or utilities, such as currency, ownership rights or access to specific services, and they are secured by the blockchain’s decentralized and tamper-proof system.Tokens can serve as a digital incentive or credential. For example, tokens may be awarded to individuals for verifying their skills or contributing accurate data. Unstructured data This refers to information that does not have a predefined format or organization, making it difficult to process and analyse using traditional methods.Processing unstructured data requires advanced technologies (like NLP , ML, DL, etc.) to extract key insights, such as identifying hidden skills in resumes or understanding nuanced job requirements. Matching Talent to the Jobs of Tomorrow: A Guidebook for Public Employment Services 34
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