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Concepts Expansion in Materials Domain Based on Ontology Matching Results

机译:基于本体匹配结果的材料领域概念扩展

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Traditional keyword-based search methods are used widely to find the user's requirements, but the results are not very satisfactory because of semantic ambiguity of concepts. However, domain ontologies contain great number of domain concepts and their relations. Hence, to achieve more accurate query results, in this paper, we propose a novel approach to expand the domain concepts using the results of ontology matching, especially in metallic materials domain. Firstly, we use the semantic similarity calculation strategy to find the domain concepts, which is similar to the seed query concept, from the ontology matching results. Then the corresponding concepts of these similar concepts can be acquired according to the structure of ontology matching results. At last, we can get the expansion concepts by merging the similar concepts and corresponding concepts. This approach is evaluated in light of F1-measure and time performance, and the experimental results show that the proposed approach can improve the query results effectively, and the time performance is acceptable.
机译:传统的基于关键字的搜索方法被广泛用于查找用户的需求,但是由于概念的语义歧义,结果并不十分令人满意。但是,领域本体包含大量领域概念及其关系。因此,为了获得更准确的查询结果,本文提出了一种使用本体匹配的结果来扩展领域概念的新颖方法,尤其是在金属材料领域。首先,我们使用语义相似度计算策略从本体匹配结果中找到与种子查询概念相似的领域概念。然后根据本体匹配结果的结构获取这些相似概念的对应概念。最后,我们可以将相似的概念和相应的概念融合起来,得到扩展的概念。根据F1测度和时间性能对该方法进行了评估,实验结果表明,该方法可以有效地改善查询结果,时间性能是可以接受的。

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