A Fuzzy Ontology Generation Framework from Fuzzy Relational Databases
A Fuzzy Ontology Generation Framework from Fuzzy Relational Databases
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DOI：
10.4018/jswis.2008070101
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发表时间：
2008-07
期刊：
影响因子：
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通讯作者：
Z. Ma;Yanhui Lv;Li Yan
中科院分区：
文献类型：
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作者：
Z. Ma;Yanhui Lv;Li Yan
本体是语义网 W3C 标准的重要组成部分，用于指定标准概念词汇以在系统之间交换数据、提供可重用的知识库并促进跨多个异构系统和数据库的互操作性。然而，当前的本体不足以处理许多应用领域中常见的模糊信息。一个可行的解决方案是引入模糊能力来扩展经典本体。在本文中，我们提出了一种基于模糊关系数据库的模糊本体生成框架，其中模糊本体由模糊本体结构和实例组成。我们同时考虑模糊关系数据库的模式和实例，并将它们分别转换为模糊本体结构和模糊RDF数据模型。这样可以保证原始结构的完整性以及模糊关系数据库中原始实例的完整性和一致性。
Ontology is an important part of the W3C standards for the Semantic Web used to specify standard conceptual vocabularies to exchange data among systems, provide reusable knowledge bases, and facilitate interoperability across multiple heterogeneous systems and databases. However, current ontology is not sufficient for handling vague information that is commonly found in many application domains. A feasible solution is to import the fuzzy ability to extend the classical ontology. In this article, we propose a fuzzy ontology generation framework from the fuzzy relational databases, in which the fuzzy ontology consists of fuzzy ontology structure and instances. We simultaneously consider the schema and instances of the fuzzy relational databases, and respectively transform them to fuzzy ontology structure and fuzzy RDF data model. This can ensure the integrality of the original structure as well as the completeness and consistency of the original instances in the fuzzy relational databases.