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An Emergent Role of Knowledge Graph and Summarization Methodology to Simplify Recruitment for the Indian IT Industry

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Artificial Intelligence and Sustainable Computing for Smart City (AIS2C2 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1434))

Abstract

In the new age of information revolution, recruiters are getting many job applicants’ profiles from various sources. Recruiters invest considerable time and effort to evaluate and organize this amount of data in semi-structured or unstructured format in the information technologies industry. To understand and summarize job applicants’ profiles, a knowledge graph can help to provide instant screening. This paper proposes the use of a machine learning techniques for the generation of knowledge graph and extractive summarization of job applicants. This will help to have a quick knowledge graph visualization and short summary of relevant information from candidates’ profiles. The results of the study can significantly reduce the effort and time taken to manually screen profiles for matching jobs during a recruitment process.

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Author information

Authors and Affiliations

  1. School of Management, Gautam Buddha University, Greater Noida, India

    Anshul Ujlayan

  2. School of Business Management, NMIMS, Mumbai, India

    Manisha Sharma

Authors
  1. Anshul Ujlayan
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  2. Manisha Sharma
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Editor information

Editors and Affiliations

  1. Gautam Buddha University, Greater Noida, India

    Arun Solanki

  2. Gautam Buddha University, Greater Noida, India

    Sanjay Kumar Sharma

  3. Gautam Buddha University, Greater Noida, India

    Sandhya Tarar

  4. Gautam Buddha University, Greater Noida, India

    Pradeep Tomar

  5. Gautam Buddha University, Greater Noida, India

    Sandeep Sharma

  6. Duy Tan University, Da Nang, Vietnam

    Anand Nayyar

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Ujlayan, A., Sharma, M. (2021). An Emergent Role of Knowledge Graph and Summarization Methodology to Simplify Recruitment for the Indian IT Industry. In: Solanki, A., Sharma, S.K., Tarar, S., Tomar, P., Sharma, S., Nayyar, A. (eds) Artificial Intelligence and Sustainable Computing for Smart City. AIS2C2 2021. Communications in Computer and Information Science, vol 1434. Springer, Cham. https://doi.org/10.1007/978-3-030-82322-1_5

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  • DOI: https://doi.org/10.1007/978-3-030-82322-1_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-82321-4

  • Online ISBN: 978-3-030-82322-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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