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Study on place name recognition approach based on ontology for geocoding system

机译：基于地理编码系统本体的地方名称识别方法研究

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摘要

In this paper, we focus on the problem of place name recognition for geocoding system, and propose an efficient approach for place name recognition using ontology structure. First, the FCA algorithm is selected to construct a place name ontology, and the concept of formal context and formal concept are defined. The place name otology constructed in our works consists of two types of nodes, which are "reference framework" and "entity of place name." Particularly, the entity of place name contains many place types, such as entertainment place, shopping mall, education institution, monument, accommodation, hospital, and transport facility. Second, a given term can be distinguished if it is belonged to a specific kind of space name category by calculating the place name similarity. Furthermore, the main innovations of this paper lie in that we define the concept of place name similarity, and present a novel method to calculate place name similarity by linear fusion. To obtain the place name similarity, location similarity and the ontology based semantic similarity are integrated with a linear weighting method. Finally, experiments are conducted to make performance evaluation, and very positive results are obtained.
机译：在本文中，我们专注于地理编码系统的名称识别问题，并使用本体结构提出了一种有效的地点识别方法。首先，选择FCA算法来构建一个地方名称本体，并且定义了正式上下文和正式概念的概念。我们的作品中构造的地点otology由两种类型的节点组成，这些节点是“参考框架”和“地名的实体”。特别是，地方名称的实体包含许多地方类型，例如娱乐场所，商城，教育机构，纪念碑，住宿，医院和运输设施。其次，如果通过计算地名相似性属于特定的空间名称类别，可以区分给定术语。此外，本文的主要创新介于定义地方名称相似度的概念，并提出了一种通过线性融合来计算场所名称相似性的新方法。为了获取地点名称相似性，基于位置相似性和基于本体的语义相似性与线性加权方法集成在一起。最后，进行实验以进行性能评估，并获得非常阳性的结果。

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