Building Ontology from Knowledge Base Systems: An Evaluation Phase
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Faten Kharbat (1) & Haya El-Ghalayini (2)
(1) Zarqa Private University, Jordan, (2) Petra University, Jordan
Abstract
From the fact that ontologies play an important role in sharing knowledge in different domains, we have developed an algorithm that utilities the extracted rules, which are generated from the original dataset, in developing ontology elements. In this paper, the developed algorithm is critically evaluated via set of metrics that have been adopted. In addition, this paper focuses on evaluating the quality of the generated ontology that has been developed using to a well known dataset in the breast cancer domain. The results of this evaluation indicate that the generated domain ontology provides a high degree of accuracy in identifying the substantial domain concepts. The overall conclusion encourages and supports the potential role that this approach can play in providing a suitable starting point for ontology development.
From the fact that ontologies play an important role in sharing knowledge in different domains, we have developed an algorithm that utilities the extracted rules, which are generated from the original dataset, in developing ontology elements. In this paper, the developed algorithm is critically evaluated via set of metrics that have been adopted. In addition, this paper focuses on evaluating the quality of the generated ontology that has been developed using to a well known dataset in the breast cancer domain. The results of this evaluation indicate that the generated domain ontology provides a high degree of accuracy in identifying the substantial domain concepts. The overall conclusion encourages and supports the potential role that this approach can play in providing a suitable starting point for ontology development.