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Soft Ontologies as Fuzzy RDF Statements

机译:软本体作为模糊RDF语句

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摘要

Soft ontologies enable knowledge representation in a flexible way because they are more susceptible to changes in their interrelationships over time. The transformation of a nonstandardized model of information into a computer-interpretable representation is not an easy task. Our investigation expands the concept of soft ontologies to fuzzy data represented as fuzzy RDF triples. In this paper, we elaborate a process that transforms a soft ontology implemented in the form of a matrix of probabilities into a fuzzy RDF dataset. The study presents the way the matrix of probabilities are used in the representation and how the data elements are triplified exploring fuzzy characteristics. We apply the proposal in an experimental scenario, by constructing a soft ontology which expresses a repertoire of actions in an mBot robot. Then, the facts are triplified to fuzzy RDF statements. Our results present original aspects related to the transformation of soft ontologies to fuzzy RDF triples
机译:软本体以灵活的方式实现知识表示,因为它们随着时间的推移更容易改变其相互关系。将非标准化的信息模型转换为计算机可解释的表示形式并非易事。我们的研究将软本体的概念扩展到了表示为模糊RDF三元组的模糊数据。在本文中,我们详细说明了将以概率矩阵形式实现的软本体转换为模糊RDF数据集的过程。这项研究提出了概率矩阵在表示中的使用方式以及如何利用模糊特征对数据元素进行三重化。我们通过构建软本体来表达该建议,并将其应用于实验场景,该本体表示mBot机器人中的所有动作。然后,将事实三重化为模糊RDF语句。我们的结果提出了与将软本体转换为模糊RDF三元组有关的原始方面

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