Fuzzy semantic web ontology learning from fuzzy UML model
Fuzzy semantic web ontology learning from fuzzy UML model
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DOI：
10.1145/1645953.1646082
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发表时间：
2009-11
期刊：
影响因子：
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通讯作者：
Fu Zhang;Zongmin Ma;Jingwei Cheng;Xiangfu Meng
中科院分区：
文献类型：
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作者：
Fu Zhang;Zongmin Ma;Jingwei Cheng;Xiangfu Meng
如何快速、廉价地构建Web本体已成为实现语义Web的关键技术。经典的本体不足以处理在许多应用领域中常见的不精确和不确定的信息。本文提出了一种从模糊UML模型中构造模糊本体的方法，其中模糊本体由模糊本体结构和实例组成。首先，对模糊UML模型进行了详细的研究，提出了一种模糊UML模型的形式化定义。然后，介绍了一种模糊本体，称为模糊OWL DL本体。此外，我们考虑模糊UML模型和相应的模糊UML实例化（即，对象图），并将其分别转化为模糊本体结构和模糊本体实例。此外，由于模糊OWL DL本体等价于模糊描述逻辑f-SHOIN（D）知识库，因此模糊UML模型的推理问题（例如，一致性、包容性、等价性和冗余性等）的推理机制，从而更准确地构造模糊本体。
How to quickly and cheaply construct Web ontologies has become a key technology to enable the Semantic Web. Classical ontologies are not sufficient for handling imprecise and uncertain information that is commonly found in many application domains. In this paper, we propose an approach for constructing fuzzy ontologies from fuzzy UML models, in which the fuzzy ontology consists of fuzzy ontology structure and instances. Firstly, the fuzzy UML model is investigated in detail, and a kind of formal definition of fuzzy UML models is proposed. Then, a kind of fuzzy ontology called fuzzy OWL DL ontology is introduced. Furthermore, we consider the fuzzy UML model and the corresponding fuzzy UML instantiations (i.e., object diagrams) simultaneously, and translate them into the fuzzy ontology structure and the fuzzy ontology instances, respectively. In addition, since a fuzzy OWL DL ontology is equivalent to a fuzzy Description Logic f-SHOIN(D) knowledge base, how the reasoning problems of fuzzy UML models (e.g., consistency, subsumption, equivalence, and redundancy) may be reasoned through reasoning mechanism of f-SHOIN(D) is investigated, which can help to construct fuzzy ontologies more exactly.