A survey on fuzzy ontologies for the Semantic Web
A survey on fuzzy ontologies for the Semantic Web
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DOI：
10.1017/s0269888916000059
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发表时间：
2016-04
期刊：
影响因子：
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通讯作者：
Fu Zhang;Jingwei Cheng;Zongmin Ma
中科院分区：
文献类型：
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作者：
Fu Zhang;Jingwei Cheng;Zongmin Ma
摘要 本体作为语义网知识表示的标准（万维网联盟推荐），已成为在不同现实场景中开发应用程序的基础和关键组件。然而，人们普遍指出，经典本体模型不足以处理强烈表征某些现实世界应用的不精确和模糊的知识。因此，在基于知识的系统（特别是语义网）的许多实际应用中自然地出现了扩展本体的需求。为了提供必要的手段来处理这种模糊和不精确的信息，今天有许多对本体进行模糊扩展的建议，并且到目前为止，关于模糊本体的文献一直在蓬勃发展。为了研究模糊本体，更重要的是帮助读者掌握模糊本体的主要思想和结果，并强调基于本体的知识语义表示模糊方法的持续研究及其在各个领域的应用，在本文中，我们对模糊本体进行了全面的概述。具体来说，我们首先从表示（包括模糊本体的类别、形式定义、表示语言和工具）、推理（包括推理技术和推理器）和应用（与模糊本体最相关的应用）等最常见的方面介绍模糊本体。然后，还详细讨论了模糊本体的构建、映射、集成、查询、存储、评估、扩展和未来研究方向等其他重要问题。另外，我们在整个回顾中也做了一些比较和分析。
Abstract Ontology, as a standard (World Wide Web Consortium recommendation) for representing knowledge in the Semantic Web, has become a fundamental and critical component for developing applications in different real-world scenarios. However, it is widely pointed out that classical ontology model is not sufficient to deal with imprecise and vague knowledge strongly characterizing some real-world applications. Thus, a requirement of extending ontologies naturally arises in many practical applications of knowledge-based systems, in particular the Semantic Web. In order to provide the necessary means to handle such vague and imprecise information there are today many proposals for fuzzy extensions to ontologies, and until now the literature on fuzzy ontologies has been flourishing. To investigate fuzzy ontologies and more importantly serve as helping readers grasp the main ideas and results of fuzzy ontologies, and to highlight an ongoing research on fuzzy approaches for knowledge semantic representation based on ontologies, as well as their applications on various domains, in this paper, we provide a comprehensive overview of fuzzy ontologies. In detail, we first introduce fuzzy ontologies from the most common aspects such as representation (including categories, formal definitions, representation languages, and tools of fuzzy ontologies), reasoning (including reasoning techniques and reasoners), and applications (the most relevant applications about fuzzy ontologies). Then, the other important issues on fuzzy ontologies, such as construction, mapping, integration, query, storage, evaluation, extension, and directions for future research, are also discussed in detail. Also, we make some comparisons and analyses in our whole review.