A Semantic Web Enabled System for Résumé Composition and Publication

Roberto Mirizzi, Tommaso Di Noia, Eugenio Di Sciascio, Michelantonio Trizio

Abstract: The process of writing a resume is a task where the notion of background knowledge plays an important role. A typical resume contains several interrelated and implicit information. The use of domain ontologies and semantic technologies provides a valuable help to point out such interrelations and to make explicit the implicit knowledge. We present a system to automatically produce a semantically annotated resume, exploiting domain knowledge modeled with respect to a domain ontology. Semantic technologies and domain ontologies have been exploited both to help the user during the writing process and to explicitly represent domain knowledge in the final CV. Our aim is twofold: on the one hand a user obtains a document that can be stored in specific semantic-based systems used by recruiting agencies, and exposed on the Web where, thanks to RDFa annotations can be indexed by emerging semantic-search engines.