篇名 |
Design and Research of Intelligent Screening System for Graduate Recruitment Based on Big Data Assisted Ontology-based Blockchain Design
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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 Guo、Dong Wang、Carlos Enrique Montenegro-Marin、Vicente 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 | Blockchain、Big data、Ontology |
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 |
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