Reasoning in Fuzzy OWL 2 with DeLorean

Reasoning in Fuzzy OWL 2 with DeLorean
复制标题

使用 DeLorean 在 Fuzzy OWL 2 中进行推理

DOI:
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发表时间:
2010
期刊:
Uncertainty Reasoning for the Semantic Web
影响因子:
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通讯作者:
Juan Gómez
Juan Gómez
中科院分区:
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文献类型:
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作者:
Fernando Bobillo;M. Delgado;Juan Gómez

文献摘要

参考文献

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相似文献

经典本体论不适合表示不精确或模糊的信息,这导致了使用非经典逻辑的几个扩展。特别是,在文献中已经提出了几个模糊扩展。本文首先提出了支持OWL2模糊扩展的模糊本体推理机DeLorean,讨论了如何将其用于模糊本体的表示和推理,并描述了一些实现细节和优化技术。实验评估表明,这些优化措施显著提高了推理机的性能。
Classical ontologies are not suitable to represent imprecise or vague information, which has led to several extensions using non-classical logics. In particular, several fuzzy extensions have been proposed in the literature. In this paper, we present the fuzzy ontology reasoner DeLorean, the first to support a fuzzy extension of OWL 2. We discuss how to use it for fuzzy ontology representation and reasoning, and describe some implementation details and optimization techniques. An empirical evaluation demonstrates that these optimizations considerably improve the performance of the reasoner.
DOI: 10.1016/j.websem.2008.05.001
发表时间: 2008-11-01
影响因子: 2.5
作者:
Grau, Bernardo Cuenca;Horrocks, Ian;Sattler, Ulrike
通讯作者: Sattler, Ulrike