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A new entity similarity measurement based on automatic featuring for ontology mapping

机译:基于自动特征的新的实体相似度度量

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摘要

Ontology has been one of the best tools to express knowledge, such as classification knowledge of resources on the Web. To facilitate the integration of learning resources categorized under different ontology representations, the techniques of ontology mapping can be applied. Though many algorithms and systems have been proposed for ontology mapping, they do not have an automatic weighting strategy on class features to automate the ontology mapping process and improve the overall mapping effectiveness. A novel method of computing the feature weights is proposed. The results show that it makes the ontology mapping process more automatic while retaining satisfying accuracy.
机译:本体已成为表达知识的最佳工具之一,例如Web上资源的分类知识。为了促进归类在不同本体表示下的学习资源的集成,可以应用本体映射的技术。尽管已经提出了许多用于本体映射的算法和系统,但是它们没有针对类特征的自动加权策略来自动化本体映射过程并提高整体映射效率。提出了一种计算特征权重的新方法。结果表明,该算法在保持满意的准确性的同时,使本体映射过程更加自动化。

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