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False-Positive Reduction in Ontology Matching Based on Concepts' Domain Similarity

机译:基于概念域名相似性的本体匹配假阳性减少

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In this study we explore if considering the domain similarity between concepts to be matched can contribute filter out false positive relations. This is particularly relevant in areas where the "universe of discourse" encompasses several diverse domains, such as cultural heritage. Our approach is based on an algorithm that employs the lexical resource WordNet Domains to filter out relations where the two concepts to be matched are associated with different domains. We evaluate our approach in an experiment involving Bibframe and Schema.org, two ontologies of complementary nature. The results from the evaluation show that the use of such a domain filter indeed can have a positive effect on reducing false positives while retaining true ones.
机译:在这项研究中,我们探讨了考虑要匹配的概念之间的域相似度,可以贡献过滤错误的积极关系。这在“话语宇宙”包括几个不同的域名的区域中特别相关,例如文化遗产。我们的方法基于一种算法,该算法采用词汇资源Wordnet域来过滤筛选要匹配的两个概念的关系与不同的域相关联。我们在涉及Bibframe和Schema.org的实验中评估我们的方法,互补性的两个本体。评估结果表明,使用这种域滤波器的实际上可以对减少误报的情况产生积极影响,同时保持真实的阳性。

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