Design and Research of Intelligent Screening System for Graduate Recruitment Based on Big Data Assisted Ontology-based Blockchain Design,ERICDATA高等教育知識庫
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篇名
Design and Research of Intelligent Screening System for Graduate Recruitment Based on Big Data Assisted Ontology-based Blockchain Design
並列篇名
Design and Research of Intelligent Screening System for Graduate Recruitment Based on Big Data Assisted Ontology-based Blockchain Design
作者 Jie GuoDong WangCarlos Enrique Montenegro-MarinVicente García-Díaz
英文摘要
In recent years, several e-recruitment tools for recruiting job applicants have extended considerably. Companies regularly receive e-recruitment tools and a job portal from candidates who are qualified by post and a list of candidates manually. The existing mechanisms of e-recruitment are primarily used to store contact data for qualified candidates. This paper suggests a big data assisted ontology-based blockchain design (BDOBD) as an intelligent screening system for evaluating job candidates using ontological mapping. BDOBD consists of three steps of screening applicants for recruitment. The system collects and constructs the ontology document on candidates’ characteristics in the first step. The second step and third step of BDOBD map the job requirement ontology onto the candidate ontology document and finds the criteria for candidates Job openings/job requirements as ontology. In step 2, job openings/job requirements are shown as ontology. In step 3, BDOBD maps it onto applicant ontology documents the job requirements ontology and retrieves qualified applicants. Experimental results show that this model improves the accuracy of job requirements for competing applicants.
起訖頁 1429-1442
關鍵詞 BlockchainBig dataOntology
刊名 網際網路技術學刊  
期數 202111 (22:6期)
出版單位 台灣學術網路管理委員會
DOI 10.53106/160792642021112206019   複製DOI
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