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OntoPhil Exploitation of Binding Points for Ontology Matching

机译:植物体利用本体匹配的结合点

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This paper presents a new ontology matching algorithm, OntoPhil. The algorithm relies on the exploitation of some initial correspondences or binding points that connect the two ontologies used as input. First, it computes these binding points using a new lexical similarity measure which combines the information from a terminological matcher and an external one. Next, it discovers new binding points, by taking the initial ones as basis and by exploiting the specific features of the external structure of the ontologies matched. Finally, the binding points are automatically sifted out to obtain the final alignment. The proposed algorithm was tested on the benchmarks provided by the well known evaluation initiative OAEI, and compared to other matching algorithms. The experimental results show that OntoPhil is an effective approach and outperforms other algorithms that share the same principles.
机译:本文介绍了新的本体匹配算法,鞘内干酪。该算法依赖于利用一些初始对应关系或连接用作输入的两个本体的绑定点。首先,它使用新的词汇相似度测量来计算这些绑定点,该绑定点将信息与术语匹配器和外部外部相结合。接下来,它通过将初始绑定点作为依据和利用匹配的本体的外部结构的特定特征来发现新的绑定点。最后,将绑定点自动筛选出来以获得最终对准。该算法在众所周知的评估倡议OAEI提供的基准测试上测试,并与其他匹配算法进行比较。实验结果表明,Ontophil是一种有效的方法,优于与相同原则的其他算法。

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