TITLE: RRSO: A COMPREHENSIVE ONTOLOGY TO PROVIDE SEMANTIC REASONING FROM TURKISH RÉSUMÉS IN JOB RECOMMENDATION SYSTEMS
Researchers' information:
| NAME SURNAME | UNIVERSITY, FACULTY, DEPARTMENT, CITY, COUNTRY | E-MAIL ADDRESS |
| 1. SELİN BİTİRİM | Department of Computer Engineering, Faculty of Engineering, Eastern Mediterranean University, Famagusta, North Cyprus, via Mersin-10, Turkey. | selin.bitirim@emu.edu.tr |
| 2. DUYGU ÇELİK ERTUĞRUL | Department of Computer Engineering, Faculty of Engineering, Eastern Mediterranean University, Famagusta, North Cyprus, via Mersin-10, Turkey. | duygu.celik@emu.edu.tr
|
Resume Recommender System Ontology (RRSO) approach is engineered to extract content from Turkish and English resumes. In this approach, both the semantic content and the syntactic analysis of a resume is taken in to account. Therefore, the system proposed involves Ontology. The aim of the ontology usage in our system is to produce the right matchings between both the job seeker and the employer. The ontology is developed using in OWL language and the Protégé ontology editor. Ontology can deduce and analyze certain features of a syntactic and unstructured job candidate resume, then semanticly match those resumes with the most appropriate job descriptions to present most suitable job recommendations.
You can download RRSO OWL
