Authors
Ankita Mishra
Abstract
Ontology is based on the knowledge management application for the enterprises with the focused on Knowledge process and management process. The present study is much more specific towards the ontology engineering and how they are related with the overall process. This paper also cover the model for the software engineering that means the diversion of the ontology in different field. Ontology basically changes the management that incorporates the numerous areas like ontology engineering, integration, maintenance, merging etc. The paper involves the emerging trend of the engineering consisting the logical-philosophical principles in the ontology development. The new methodology is useful for the information scientists creating new ontological representations. Keywords: Ontology, logical-philosophical, Merging, Integration
Introduction
Ontological Engineering consist of set of activities that concern the relevant ontology development process, life cycle of ontology, the methodologies, tools and languages required for building ontologies. The main goal is to provide the technologies and guidelines for effective and efficient ontology, management, network development and its uses.
According to Gruber’s and Borst’s, ontology is formal specification of shared conceptualization. It refers to an abstract model of same phenomenon by the identification of the relevant concepts of the phenomenon.
Following are the seven relevant definition given by Guarinoa and Giaretta in 1995
• It is a philosophical discipline.
• It is considered as an informal conceptual system.
• Ontolology is known for semantic account.
• It is used as a vocabulary used by the logical theory.
References
Khattak, Asad Masood, et al. “Ontology Evolution and Challenges.” Journal of Information Science and Engineering, vol. 29, 2013, pp. 851–871., www.iis.sinica.edu.
Wongthongtham, Pornpit, et al. “Development of a Software Engineering Ontology for Multi-Site Software Development.” IEEE Transactions on Knowledge and Data Engineering, 2009, pp. 1–13.
Beckers, Kristian, et al. “Ontology-Based Identification of Research Gaps and Immature Research Areas.” International Federation for Information Processing, 2012, pp. 1–16., link.springer.com.
Mendonça, Fabrício M, and Mauricio B Almeida. “Ontoforinfoscience: A Detailed Methodology for Construction of Ontologies and Its Application in the Blood Domain.” Brazilian Journal of Information Studies: Research Trends, vol. 10, ser. 1, 2016, pp. 12–19. 1.
Patil, Snehal Shivaji, and S A Uddin. “Research Paper Selection Based On an Ontology and Text Mining Technique Using Clustering.” IOSR Journal of Computer Engineering, vol. 17, no. 1, ser. 1, 2015, pp. 65–71. 1, pdfs.semanticscholar.org.
Happel, Hans Jorg, and Stefan Seedori. “Applications of Ontologies in Software Engineering.” Southwest Electric Safety Exchange, 2006, pp. 1–14., km.aifb.kit.edu. 121–135., www.cambridge.org.
How to cite this article?
APA Style | Mishra, A. (2019). Ontology: An emerging trend in Engineering. Academic Journal of Applied Engineering, 1(1), 19-21. |
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