Towards a semantic-based information extraction system for matching résumés to job openings

Abstract

A curriculum vitae or a r´esum´e, in general, consists of personal details, education, work experience, qualifications, and references. The overall objective of this study was to extract such data as experience, features, and business and education information from r´esum´es stored in human resources repositories. In this article, we propose an ontology-driven information extraction system that is planned to operate on several million free-format textual r´esum´es to convert them to a structured and semantically enriched version for use in semantic data mining of data essential in human resources processes. The architecture and working mechanism of the system, similarity