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Analyzing Relatedness by Toponym Co-Occurrences on Web Pages

机译：通过网页上的地名共现分析关联性

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摘要

This research proposes a method for capturing "relatedness between geographical entities" based on the co-occurrences of their names on web pages. The basic assumption is that a higher count of co-occurrences of two geographical places implies a stronger relatedness between them. The spatial structure of China at the provincial level is explored from the co-occurrences of two provincial units in one document, extracted by a web information retrieval engine. Analysis on the co-occurrences and topological distances between all pairs of provinces indicates that: (1) spatially close provinces generally have similar co-occurrence patterns; (2) the frequency of co-occurrences exhibits a power law distance decay effect with the exponent of 0.2; and (3) the co-occurrence matrix can be used to capture the similarity/ linkage between neighboring provinces and fed into a regionalization method to examine the spatial organization of China. The proposed method provides a promising approach to extracting valuable geographical information from massive web pages.
机译：这项研究提出了一种基于网页上名称的共现来捕获“地理实体之间的关联性”的方法。基本假设是，两个地理位置同时出现的次数越多，它们之间的关联性就越强。通过网络信息检索引擎提取的两个省单位在一个文档中的同时出现，探索了中国在省一级的空间结构。对所有成对的省份之间的共现和拓扑距离的分析表明：（1）在空间上接近的省份通常具有相似的共现模式; （2）共现频率表现出幂律距离衰减效应，指数为0.2; （3）同现矩阵可用于捕获相邻省份之间的相似性/联系性，并用于区域化方法以检验中国的空间组织。所提出的方法提供了一种从大量网页中提取有价值的地理信息的有前途的方法。

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