Soft Ontologies as Fuzzy RDF Statements

2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) Pub Date : 2019-06-01 DOI:10.1109/WETICE.2019.00067

L. Lombello, Júlio Cesar dos Reis, R. Bonacin

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引用次数: 2

Abstract

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

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作为模糊RDF语句的软本体

软本体能够以灵活的方式表示知识，因为它们更容易受到其相互关系随时间变化的影响。将非标准化的信息模型转换为计算机可解释的表示并不是一件容易的事。我们的研究将软本体的概念扩展到用模糊RDF三元组表示的模糊数据。本文阐述了将概率矩阵形式的软本体转换为模糊RDF数据集的过程。该研究提出了概率矩阵在表示中的使用方法，以及如何将数据元素三倍化以探索模糊特征。我们通过构建一个表达mBot机器人一系列动作的软本体，将该建议应用于实验场景。然后，将事实三倍化为模糊RDF语句。我们的结果展示了与软本体到模糊RDF三元组的转换相关的原始方面

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2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)

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