Accurate Identification of Ontology Alignments at Different Granularity Levels
Accurate Identification of Ontology Alignments at Different Granularity Levels
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DOI：
10.1109/access.2016.2614759
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发表时间：
2017
期刊：
影响因子：
3.9
通讯作者：
Xiaocao Hu;Zhiyong Feng;Shizhan Chen;Keman Huang;Jianqiang Li;Mengchu Zhou
中科院分区：
文献类型：
--
作者：
Xiaocao Hu;Zhiyong Feng;Shizhan Chen;Keman Huang;Jianqiang Li;Mengchu Zhou
随着越来越多的本体被定义为不同的术语，本体匹配在解决许多不同学科的语义异构问题中起着至关重要的作用。人们已经做了很多努力来发现不同本体中术语之间的对应关系。大多数研究直接匹配两个本体，利用术语和结构的方法，依赖于本体本身。然而，本体的分散性增加了本体匹配的不确定性。为了解决这个问题，我们提出了一个四阶段本体匹配框架（FOMF）来提高本体匹配性能。它是建立在普遍接受的索赔，外部全面的知识库可以作为一个语义桥梁领域本体之间的本体匹配。首先，FOMF语义映射领域本体到知识库，然后产生不同类型的对齐，包括等价，子类，sameas，和实例对齐。两个领域本体之间的相似性接下来被用来增强等价性和相同比对发现。最后，基于获取的对齐，推断对齐，以保证匹配结果的完整性。我们的实验结果表明，所提出的方法优于现有的。
As more and more ontologies are defined with different terms, ontology matching plays a crucial role in addressing the semantic heterogeneity problem in many different disciplines. Many efforts have been made to discover correspondences among terms in different ontologies. Most studies directly match two ontologies by utilizing terminological and structural methods that rely on ontologies themselves only. However, the decentralized characteristic of ontologies raises the uncertainty in ontology matching. To address this problem, we propose a four-stage ontology matching framework (FOMF) to enhance ontology matching performance. It is built upon the commonly accepted claim that an external comprehensive knowledge base can be used as a semantic bridge between domain ontologies for ontology matching. First, FOMF semantically maps domain ontologies to a knowledge base and then produces different types of alignments, including equivalence, subclass, sameas, and instance alignments. Similarities between two domain ontologies are next employed to enhance the equivalence and sameas alignments discovery. Finally, based on acquired alignments, inferred alignments are deduced to guarantee the completeness of matching results. Our experimental results show the superiority of the proposed method over the existing ones.