Abstract
The availability of a web application for allocating software requirements engineering tasks to qualify personnel requires personal profile ontology (PPO) which includes both static and dynamic features. Several personal profile ontologies have been developed and deployed, but the personnel information represented is static, leaving out fundamental and dynamic properties of the personal data suitable for task handling in applications such as allocating tasks during the software requirement engineering processes. Personal profile is often modified for several purposes, calling for augmentation and annotation when needs arise. The resume is one resulting extract from personal profile and often contain slightly different information based on needs. The urgent preparation of a resume may introduce bias and incorrect information for the sole aim of projecting the personnel as being qualified for the available job. This work is aimed at providing an enhanced personal profile ontology for software requirements engineering task allocation that captures both static and dynamic properties of personal data. A mixed approach of existing ontologies like Methontology and Neon have been followed in the creation of this ontology. The enhanced personal profile ontology (e-PPO) is a constraint-based semantic data model tested using Protégé inbuilt reasoner with its updated plugins. Upon application of e-PPO, an abridged resumes otherwise referred to the smart resumes will be obtained from the populated ontology with instances, and this will aid in the decision and selection of the most qualified personnel for any queried software requirements engineering task.
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References
Bai, S.-M., Chen, S.-M.: Automatically constructing grade membership functions of fuzzy rules for students’ evaluation. Expert Syst. Appl. 35(3), 1408–1414 (2008)
Jiang, Z., Zhang, C., Xiao, B., Lin, Z.: Research and implementation of intelligent chinese resume parsing. In: 2009 WRI International Conference on Communications and Mobile Computing, vol. 3, pp. 588–593. IEEE (2009)
Paredes-Valverde, A.M., del Pilar Salas-Zárate, M., Colomo-Palacios, R., Gómez-Berbís, J.M., Valencia-García, R.: An ontology-based approach with which to assign human resources to software projects. Sci. Comput. Program. 156, 90–103 (2018)
Panchal, R., Swaminarayan, P., Tiwari, S., Ortiz-Rodriguez, F.: AISHE-Onto: a semantic model for public higher education universities. In: DG. O2021: The 22nd Annual International Conference on Digital Government Research, pp. 545–547 (2021)
Studer, R., Benjamins, V.R., Fensel, D.: Knowledge engineering: principles and methods. Data Knowl. Eng. 25(1–2), 161–197 (1998)
Usip, P.U., Ntekop, M.M.: The use of ontologies as efficient and intelligent knowledge management tool. In: 2016 Future Technologies Conference (FTC), pp. 626–631. IEEE (2016)
Sommerville, I.: Software engineering. America (2011)
Couto, R., Ribeiro, A.N., Campos, J.C.: Application of ontologies in identifying requirements patterns in use cases. arXiv preprint arXiv:1404.0850 (2014)
Mustafa, A., Wan-Kadir, W.M., Ibrahim, N., Shah, M.A., Younas, M.: Integration of heterogeneous requirements using ontologies. Integration 9(5) (2018)
Bourque, P., Dupuis, R., Abran, A., Moore, J.W., Tripp, L.: The guide to the software engineering body of knowledge. IEEE Softw. 16(6), 35–44 (1999)
Sonar, S., Bankar, B.: Resume parsing with named entity clustering algorithm. paper, SVPM College of Engineering Baramati, Maharashtra, India (2012)
Tavana, M., Azizi, F., Azizi, F., Behzadian, M.: A fuzzy inference system with application to player selection and team formation in multi-player sports. Sport Manag. Rev. 16(1), 97–110 (2013)
Pressman, R.S.: Software Engineering: A Practitioner’s Approach. Palgrave Macmillan, London (2005)
Chen, J., Zhang, C., Niu, Z.: A two-step resume information extraction algorithm. Math. Probl. Eng. 2018 (2018)
Deepak, G., Teja, V., Santhanavijayan, A.: A novel firefly driven scheme for resume parsing and matching based on entity linking paradigm. J. Discret. Math. Sci. Cryptogr. 23(1), 157–165 (2020)
Ayishathahira, C.H., Sreejith, C., Raseek, C.: Combination of neural networks and conditional random fields for efficient resume parsing. In: 2018 International CET Conference on Control, Communication, and Computing (IC4), pp. 388–393. IEEE (2018)
Sanyal, S., Hazra, S., Adhikary, S., Ghosh, N.: Resume parser with natural language processing. Int. J. Eng. Sci. 4484 (2017)
Sadiq, S.Z.A.M., Ayub, J.A., Narsayya, G.R., Ayyas, M.A., Tahir, K.T.M.: Intelligent hiring with resume parser and ranking using natural language processing and machine learning. Int. J. Innov. Res. Comput. Commun. Eng. 4(4), 7437–7444 (2016)
Tiwari, S.M., Jain, S., Abraham, A., Shandilya, S.: Secure semantic smart healthcare (s3hc). J. Web Eng. 17(8), 617–646 (2018)
Mishra, S., Jain, S.: Towards a semantic knowledge treasure for military intelligence. In: Abraham, A., Dutta, P., Mandal, J.K., Bhattacharya, A., Dutta, S. (eds.) Emerging Technologies in Data Mining and Information Security. AISC, vol. 755, pp. 835–845. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-1951-8_74
Maria, G., Akrivi, K., Costas, V., George, L., Constantin, H.: Creating an ontology for the user profile: method and applications. In: Proceedings AI* AI Workshop RCIS (2007)
Fernández-López, M., Gómez-Pérez, A., Juristo, N.: Methontology: from ontological art towards ontological engineering (1997)
Suárez-Figueroa, M.C., Gómez-Pérez, A., Fernández-López, M.: The NeOn methodology for ontology engineering. In: Suárez-Figueroa, M.C., Gómez-Pérez, A., Motta, E., Gangemi, A. (eds.) Ontology Engineering in a Networked World, pp. 9–34. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-24794-1_2
Sim, W.W., Brouse, P.: Towards an ontology-based persona-driven requirements and knowledge engineering. Procedia Comput. Sci. 36, 314–321 (2014)
Suárez-Figueroa, M.C., Gómez-Pérez, A.: Ontology requirements specification. In: Suárez-Figueroa, M.C., Gómez-Pérez, A., Motta, E., Gangemi, A. (eds.) Ontology Engineering in a Networked World, pp. 93–106. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-24794-1_5
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Usip, P.U., Udo, E.N., Umoeka, I.J. (2021). An Enhanced Personal Profile Ontology for Software Requirements Engineering Tasks Allocation. In: Villazón-Terrazas, B., Ortiz-Rodríguez, F., Tiwari, S., Goyal, A., Jabbar, M. (eds) Knowledge Graphs and Semantic Web. KGSWC 2021. Communications in Computer and Information Science, vol 1459. Springer, Cham. https://doi.org/10.1007/978-3-030-91305-2_15
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