Towards a Semantic Knowledge Treasure for Military Intelligence

Mishra, Sanju; Jain, Sarika

doi:10.1007/978-981-13-1951-8_74

Cited by 6 publications

(2 citation statements)

References 10 publications

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“…In biomedical domain, ontologies have been deployed as efficient and intelligent knowledge management tools for secure semantic smart health care (Tiwari et al , 2018; Mishra and Jain, 2019). Zhang et al (2017) developed a knowledge-based system for the assessment of the level of patients’ follow-up.…”

Section: Related Literaturementioning

confidence: 99%

Applied personal profile ontology for personnel appraisals

Usip

Udo

Umoeka

2022

IJWIS

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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 sample smart résumé 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 competent personnel for software requirement engineering tasks. The need for the use of the smart resume for appraisal purposes was pointed out in the conference paper, calling for the applicant’s data to be inputted into the enhanced personal 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 requires PPO which includes both static and dynamic features. Personal profile is often modified for several purposes calling for augmentation and annotation when needs arise. Resume is one resulting extract from personal profile and often contain slightly different information based on needs. The urgent preparation of resume may introduce bias and incorrect information for the sole aim of projecting the personnel as being qualified for the available job. Religious and gender biases may sometimes be observed during appointments of new personnel, which may not be the case during appraisals for promotions or reassignment of tasks because such biases become insignificant given the fact that job targets and the skills needed are already set and the appraisals passes through several phases that are not determined by a single individual. This work therefore applied the earlier developed e-PPO for appraisal of the academic staff of the department of computer science, university of Uyo, Uyo, Nigeria. A mixed approach of existing ontologies like Methontology and Neon have been followed in the creation of the e-PPO, which is a constraint-based semantic data model tested using Protégé 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 possible using the smart resume. Findings The use of the smart resume reduces 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 such as gender and religion. Originality/value This work is an extension of the original work done by the authors.

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Section: Related Literaturementioning

confidence: 99%

Applied personal profile ontology for personnel appraisals

Usip

Udo

Umoeka

2022

IJWIS

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“…Smart healthcare ontology (SHCO) is designed (Tiwari et al , 2018; Mishra and Jain, 2019a, 2019b, 2018) for monitoring doctors and patients anytime, anywhere, and can modify prescriptions when required. This ontology is a formal description of the structure and it is described in Resource Description Framework (RDF) [W3C], Resource Description Framework schema (RDFs) [W3C] and Web Ontology Language (OWL) [W3C].…”

Section: Introductionmentioning

confidence: 99%

Semantic assessment of smart healthcare ontology

Tiwari¹,

Abraham

2020

IJWIS

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Purpose Health-care ontologies and their terminologies play a vital role in knowledge representation and data integration for health information. In health-care systems, Internet of Technology (IoT) technologies provide data exchange among various entities and ontologies offer a formal description to present the knowledge of health-care domains. These ontologies are advised to assure the quality of their adoption and applicability in the real world. Design/methodology/approach Ontology assessment is an integral part of ontology construction and maintenance. It is always performed to identify inconsistencies and modeling errors by the experts during the ontology development. A smart health-care ontology (SHCO) has been designed to deal with health-care information and IoT devices. In this paper, an integrated approach has been proposed to assess the SHCO on different assessment tools such as Themis, Test-Driven Development (TDD)onto, Protégé and OOPs! Several test cases are framed to assess the ontology on these tools, in this research, Themis and TDDonto tools provide the verification for the test cases while Protégé and OOPs! provides validation of modeled knowledge in the ontology. Findings As of the best knowledge, no other study has been presented earlier to conduct the integrated assessment on different tools. All test cases are successfully analyzed on these tools and results are drawn and compared with other ontologies. Originality/value The developed ontology is analyzed on different verification and validation tools to assure the quality of ontologies.

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Semantic Web Approach for Smart Health to Enhance Patient Monitoring in Resuscitation

2022

Tools, Languages, Methodologies for Representing Semantics on the Web of Things

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Towards a Semantic Knowledge Treasure for Military Intelligence

Cited by 6 publications

References 10 publications

Applied personal profile ontology for personnel appraisals

Applied personal profile ontology for personnel appraisals

Semantic assessment of smart healthcare ontology

Semantic Web Approach for Smart Health to Enhance Patient Monitoring in Resuscitation

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