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A system for railway projects and domain experts matching based on the semantic matching method

机译:基于语义匹配方法的铁路项目和域专家匹配系统

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In this paper, we develop a system for making matches between domain experts with railway projects in the same area based on the semantic similarity method. It is very important to select the right experts for railway project evaluation, in this paper, we present a novel method for matching railway projects and domain experts well. The idea behind this method includes building domain ontologies to describe projects and experts and calculating similarities between projects and domain experts for matching. The developed system consists of four main components: ontology building, document formalization, similarity calculation and user interface. We use a new method that integrates node-based and edge-based approach to measure the semantic similarities between projects and experts with the help of the domain ontologies. The experimental results show that the developed information matching system can reach the satisfied recall and precision.
机译:在本文中,我们在基于语义相似性方法的同一区域中的铁路项目中制定了一个制作域专家之间的匹配系统。在本文中,为铁路项目评估选择合适的专家非常重要,我们提出了一种匹配铁路项目和领域专家的新方法。此方法背后的想法包括构建域本体,以描述项目和专家以及计算项目和领域专家之间的相似性进行匹配。开发系统由四个主要组件组成:本体构建,文档形式化,相似性计算和用户界面。我们使用一种新方法,该方法集成了基于节点的和边缘的方法,以测量项目和专家之间的语义相似性,以及域在域内的帮助。实验结果表明,发达的信息匹配系统可以达到满意的召回和精度。

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