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This paper by Fabrizio Lamberti from Politecnico di Torino explores the integration of semantics in the LO-MATCH platform, which enhances end-user interaction. It highlights how semantics, by studying the meaning behind job offers and descriptions, helps harmonize knowledge, skills, and competencies. The two-step learning outcomes annotation process involves categorizing knowledge elements, identifying action verbs related to skills, and defining context components that characterize competencies. This approach fosters better understanding for both job seekers and employers, leveraging European tools like EQF and Europass.
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Behind the LO-MATCH interfacefor end-users Semantic annotation Fabrizio Lamberti Dipartimento di Automatica e Informatica Politecnico di Torino Italy
Semantics • Every language has its syntax and semantics • Syntax is the study of grammar (how to say something) • Semantics is the study of meaning (behind what you say) • Why is semantics exploited in MATCH • To use knowledge, skill and competence elements as a concrete (practical) “harmonization” means, by referring to European tools (EQF, Europass) • To let LO-MATCH understand the meaning behind offer and demand descriptions by job seekers and employers
Two-step learning outcomes annotation • Assigning categories • Identifying knowledge elements • Identifying verbs acting on knowledge (i.e. putting knowledge into action, through a skill) • Identifying context components, i.e. characterizing a competence • Assigning definitions • Choosing among those suggested by the platform • By defining new ones and linking them to the existing ontological structure
