Automatisation du e-recrutement dans le cadre du Web sémantique

Abstract : This article presents an approach based on the semantic annotation of CVS and job offers to automate the process of electronic recruitment. The main idea consists on modeling formally the semantic content of these documents in term of their acquirements (case of a CV) or requirements (case of a job offer) using a shared ontology between recruiters and job seekers. The domain ontology built is inspired from the most significant parts of these documents (personal qualifications, diplomas and job experiences) and handle the competencies management. The competency model adopted and the hierarchies of topics that a competency can have are described. this ontology allows the end user to explicitly enrich his document with metadata (annotations). Semantic matching between supply and demand, based on the computation of a coefficient, can be applied in a superficial or a deep way. Superficial matching deals with all acquirements/requirements mentioned explicitly by a job seeker/recruiter (a special diploma, a special job experience or a special personal qualification), whereas competency based matching deals with all competencies underlying the user’s document.
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Leila Yahiaoui, Zizette Boufaida, Yannick Prié. Automatisation du e-recrutement dans le cadre du Web sémantique. IC - 17èmes Journées francophones d'Ingénierie des Connaissances, Jun 2006, Nantes, France. pp.51-60. ⟨hal-01025821⟩

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