Applied personal profile ontology for personnel appraisals

• DOI: https://doi.org/10.1108/IJWIS-03-2022-0048
• Published date: 15 November 2022
• Date: 15 November 2022
• Pages: 487-500
• Subject Matter: Information & knowledge management,Information & communications technology,Information systems,Library & information science,Information behaviour & retrieval,Metadata,Internet
• Author: Patience Usoro Usip,Edward N. Udo,Ini J. Umoeka

Applied personal profile ontology

for personnel appraisals

Patience Usoro Usip,Edward N. Udo and Ini J. Umoeka

Department of Computer Science, University of Uyo, Uyo, Nigeria

Abstract

Purpose –The purpose of this paper is to apply the earlier enhanced personal profile ontology (e-PPO)

developed by the authors as a case study for the appraisal of the lecturers in the department of computer

science, University of Uyo, Uyo for the purposes of promotions. The developed e-PPO was a samplesmart

r

esum

e for the selection of the best among three personnel using linguistic variables and formal rules

representing the combination of the criteria and subcriteria was illustrated which was used to allocate

competentpersonnel for software requirement engineering tasks. The need for the use of the smart resumefor

appraisal purposeswas pointed out in the conference paper, calling for the applicant’s data to be inputted into

the enhancedpersonal profile ontology (e-PPO) for personnel appraisa.

Design/methodology/approach –Appraisal is a regular review of employees’performances and their

overall contribution to the organization they are working for. The availability of a web application for

personnel appraisal requiresPPO which includes both static and dynamic features. Personal profileis often

modified for several purposes calling for augmentation and annotation when needs arise. Resume is one

resulting extract from personal profileand often contain slightly different information based on needs. The

urgent preparationof resume may introduce bias and incorrect informationfor the sole aim of projecting the

personnel as being qualified for the available job. Religious and gender biasesmay sometimes be observed

during appointments of new personnel, which may not be the case during appraisals for promotions or

reassignment of tasks becausesuch biases become insignificant given the fact that job targets andthe skills

needed are already set and the appraisals passes throughseveral phases that are not determined by a single

individual. This work thereforeapplied the earlier developed e-PPO for appraisal of the academic staff of the

departmentof computer science, university of Uyo, Uyo, Nigeria.A mixed approachof existing ontologies like

Methontologyand Neon have been followed in the creation of the e-PPO, which is a constraint-basedsemantic

data model tested using Prot

eg

e inbuilt reasoner with its updated plugins. Upon application of e-PPO on

personnel appraisals, promotion and selection of employee for specific assignments in any organization is

possibleusing the smart resume.

Findings –The use of the smart resumereduces the numerous task that would have been taken up by the

human resource team, thereby reducing the processing time for the appraisals. The appraisal task is done

void of biases of any kind suchas gender and religion.

Originality/value –This work is an extensionof the originalwork done by the authors.

Keywords Semantic Web, Personal profile ontology, Personnel appraisal, Smart resume

Paper type Case study

1. Introduction

This paper is an extension of our earlier work originally presented in the Knowledge

Graph and Semantic Web Conference 2021 with the proceedings published as a book in

Communications in Computer and Information Science, Springer (Usip et al., 2021). The

conference paper presented the design and development of the ontology without applying

it to any specific domain while this extended work applies the developed ontology for

personnel appraisal. A sample smart r

esum

e for the selection of the best among three

personnel using linguistic variables and formal rules representing the combination of the

criteria and subcriteria were illustrated which were used to allocate competent personnel

Personal

profile

ontology

487

Received1 March 2022

Revised3 August 2022

Accepted13 October 2022

InternationalJournal of Web

InformationSystems

Vol.18 No. 5/6, 2022

pp. 487-500

© Emerald Publishing Limited

1744-0084

DOI 10.1108/IJWIS-03-2022-0048

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