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A review on metrics for ontology evaluation

机译:本体评价指标综述

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Ontology helps semantic systems to establish a model of the world in order to derive machine processed knowledge. It represents formally the concepts, objects, properties and establishes the relationship between them. By providing the structure and semantics for data representation ontology has opened an avenue for appropriate representation of the world for specific and explicit sharing of knowledge without ambiguities. The use of ontology in various applications and the availability of ontology on the web have increased. Ontology should be evaluated from various perspectives to determine the quality of ontology before use or reuse. Ontology evaluation is one of the key phases in ontology development. The ontology should be accurate and provide the accurate results to a user. Unless the quality of the ontology is assured the accuracy of the results cannot be guaranteed. Metrics is used to measure the quality of ontology from different dimensions. This paper explores various metrics used for ontology evaluation and investigates the underlying mechanisms.
机译:本体有助于语义系统建立世界的模型,以获得机器处理知识。它代表了正式的概念,对象,属性并建立它们之间的关系。通过提供数据表示的结构和语义,本体已经开通了世界的适当代表的途径,以便在没有歧义的情况下具体和明确分享知识。在各种应用中使用本体以及网络上的本体的可用性增加了。应从各种角度评估本体,以确定使用前或重用的本体质量。本体评估是本体发展中的关键阶段之一。本体应准确,并为用户提供准确的结果。除非本体质量保证,否则无法保证结果的准确性。指标用于测量不同维度的本体质量。本文探讨了用于本体评估的各种度量,并调查潜在机制。

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