简历和劳工法的智能搜索系统
Hien Nguyen1,2, Vuong Pham1,3,4, Hung Q Ngo5
1Vietnam National University, Ho Chi Minh, Vietnam.
PeerJ. Computer science
|January 29, 2024
概括
这项研究引入了一个基于本体学的系统,将求职与劳工法规相结合. 它有效地将简历与职位描述相匹配,并有助于查找法律信息,改善求职体验.
科学领域:
- 计算机科学 计算机科学
- 信息科学 信息科学 信息科学
- 社会科学 社会科学 社会科学
背景情况:
- 在线求职和了解劳动法规是关键的社会需求.
- 现有的系统缺乏整合,迫使用户浏览单独的平台寻找工作和法律信息,特别是关于失业救济的信息.
- 在专业领域,本体学提供了一个强大的知识表示方法.
研究的目的:
- 开发一个集成的,基于本体学的系统,用于求职和劳工法规的检索.
- 加强与职位描述 (JD) 匹配简历 (CV) 的过程,使用本体学.
- 为了方便用户访问法律劳工法规,包括失业和医疗保健福利.
主要方法:
- 为CV-JD匹配构建一个职业技能本体.
- 劳工法文件本体论的开发,用于法律法规的搜索.
- 将这些本体学整合到一个联合系统的统一知识库中.
- 实施IT部门的智能简历搜索系统,结合越南劳工法查询.
主要成果:
- 提出的基于本体学的方法有效地解决了劳动和就业方面的挑战.
- 集成系统成功地将简历与JD相匹配,并检索相关的劳动法信息.
- 实验结果证实了该系统对求职者和合法劳工文件用户的有效性.
结论:
- 开发的基于本体学的方法为集成的求职和劳动法信息检索提供了有效的解决方案.
- 该系统提高了求职者与合适的机会和法律指导相匹配的效率和准确性.
- 这项研究为劳动和就业领域的知识管理提供了一个新的方法.
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