Authors: N. Kumaresh; J. Abdul Samath; M. Mohamed Iqbal
Addresses: Department of Information Technology, Sri Ramakrishna Institute of Technology, Coimbatore, India ' Department of Computer Science, Government Arts College, Udumalpet, India ' Department of Electrical and Electronics Engineering, Sri Ramakrishna Institute of Technology, Coimbatore, India
Abstract: In many industries, the hiring process is a critical task, where many applicants will be applied for the single position, so it is required to analyse their qualification which ought to suit the requirement. Identifying feasible candidate with the required knowledge and skills is the difficult task which is faced by the organisations. In the proposed work, this issue is rectified through domain ontology construction framework (DOCF) from the job knowledge thesis and the job requirements details, which are obtained from online. The obtained documents were clustered regarding the content and conceptual similarity-based clustering method. From those clustered documents job-know ontology will be built. So it is easy to create the information requirements about the job search phase by both candidates and the human resources (HR) of the industries. It is proved that proposed research method leads to give better result when compared with the existing research method in terms of increased accuracy rate.
Keywords: job requirement analysis; competence level finding; domain ontology construction; conceptual similarity.
International Journal of Enterprise Network Management, 2018 Vol.9 No.3/4, pp.441 - 454
Received: 02 Nov 2017
Accepted: 28 May 2018
Published online: 03 Sep 2018 *