The process of writing a résumé is a task where the notion of background knowledge plays an important role. A typical résumé 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 résumé, 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.
A Semantic Web enabled System for Resume Composition and Publication / Mirizzi, R; DI NOIA, Tommaso; Di Sciascio, E; Trizio, M.. - (2009), pp. 583-588. (Intervento presentato al convegno ICSC 2009 - 2009 IEEE International Conference on Semantic Computing tenutosi a Berkeley, CA, USA nel 14-16 September 2009) [10.1109/ICSC.2009.40].
A Semantic Web enabled System for Resume Composition and Publication
DI NOIA, Tommaso;Di Sciascio, E;
2009-01-01
Abstract
The process of writing a résumé is a task where the notion of background knowledge plays an important role. A typical résumé 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 résumé, 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
