Ontology-based job recommendation system with dynamic source updates by slowly changing source detection
by Uma Pavan Kumar Kethavarapu; Selvarajan Saraswathi
International Journal of Knowledge Engineering and Soft Data Paradigms (IJKESDP), Vol. 5, No. 3/4, 2016

Abstract: The ontology is a common place where we can get the shared knowledge about the common concepts. In medical domains, university data bases and in the study of botanical areas of research we can see the applications of ontologies. The main objective of our research is to propose a job recommendation system based on the ontology. The process here is construction of the ontology from various job portals and notifying the result set to both job seekers and employers. The important attempt that here we are describing is to adapt the dynamism to the ontology with the idea of slowly changing source detection based on lookup and update strategy. Look up will identify the change happens or not, whereas the update strategy tracks the change in terms of updating, deletion or insertion of the source. The benefit of our work is dynamic data management provision to the ontology constructed. We believe that our method will give the best results in case of accuracy and time parameters in the job notifications.

Online publication date: Sat, 17-Jun-2017

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