| Description
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A COMPREHENSIVE ONTOLOGY TO PROVIDE SEMANTIC REASONING FROM TURKISH RÉSUMÉS IN JOB RECOMMENDATION SYSTEMS
Resume Recommender System Ontology
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| HasDownloadNumber
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0 +
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| Justification
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This ontology was developed as part of a d … This ontology was developed as part of a doctoral thesis and our ontology is still under development. We kindly request that the studies I have shared are shared here in order to be a resource for other researchers.
New versions of RRSO are being developed every day and updated versions will be shared on this platform for other researchers. ed on this platform for other researchers.
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| Modification dateThis property is a special property in this wiki.
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23 September 2022 11:22:22 +
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| Name
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RRSO +
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| OntologyAuthor
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Selin Bitirim +,
Duygu Çelik Ertu?rul +
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| OntologyOrganization
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EMU +
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| OntologyPurpose
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Resume Recommender System Ontology (RRSO) … 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. By the same logic, ontology can infer and analyze certain features of companies' job descriptions, then match them semantically with the potential resumes to present the most suitable candidates. s to present the most suitable candidates.
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| OntologyURI
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https://staff.emu.edu.tr/selinbitirim/Documents/ResumeOnt.owl +
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| SubmittedBy
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Selinbitirim +
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| Categories |
Ontology +
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