Development Methods for Building Ontologies Information Technology Essay




This article aims to present an overview of existing ontology development approaches for different domains with the aim of identifying the weakness of individual methodologies and suggests hybridization to strengthen ontology development in terms of the content and correctness of the constructs. To expand. 28. PDF. There are different types of software development methodologies that are used for developing better and high-quality software development projects that further help the software developers in planning, developing and testing the software. The software development methodologies are mentioned below: 1. Agile Methodology.Introduction. It is important that information professionals are not only users of existing ontologies, but that they also build their own. This is important not only because of the large number of areas that still require the development of ontologies, but also because we cannot fully achieve the development of ontologies until now. Computational ontologies are machine-processable structures that represent particular areas of interest. . They integrate knowledge that can be used by humans or machines for decision-making and problem solving. The main aim of this systematic review is to investigate the role of formal ontologies in information. All methodologies strongly encourage reuse when building new ontologies, both at the level of an ontology and at the level of individual terms. Corcho et al. 2003. In the literature we have. Abstract. Ontologies are ways of representing aspects of the world in terms of uniquely defined classes of 'entities' and the relationships between them. They are widely used in biological science, data science and commerce because they provide clarity, consistency and the ability to link information and data from different sources. In the context of computing, ontology acts as a structural framework. It is widely used to organize information and concepts in areas such as artificial intelligence, systems, semantics and. Development. The design and development of an ontology typically involves multiple tasks. In our approach we combined two commonly used methodologies, 8, 9 resulting in four main phases: 1 definition of domain and purpose, 2 building ontology, 3 evaluation, 4 documentation. We provide more details below, Ontology Engineering Methodologies: State of the Art. DOI: 10.1007 978-3-031-07969-6 5. In book: Proceedings of the International Conference on Big Data and Internet of Things. Download citation, Building ontologies with ontoforinfoscience methodology: a detailed approach to the activities of ontology development, in using ontologies as knowledge information.





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