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Research on Geographic Information Extraction Based on Knowledge Graph

机译:基于知识图的地理信息提取研究

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In the rapid development of the Internet, in order to achieve the effective extraction of geographical names information, the study of location information extraction of web on the basis of the Chinese knowledge map CN-DBpedia is carried out. The Chinese geographical names are obtained from Wikipedia based on statistics. And the attribute value dictionary is built on the basis of CN-DBpedia, which can be used to automatically annotate the data items of the web pages. Compared with manual annotation, this method has higher accuracy and recall rate, which can significantly save human resources and greatly improve the efficiency of information acquisition.
机译:在互联网的快速发展中,为了实现地理名称信息的有效提取,进行了基于中国知识图CN-DBPedia的网站的位置信息提取。中国地理名称是根据统计数据从维基百科获得的。属性值字典基于CN-DBPedia构建,可用于自动注释网页的数据项。与手动注释相比,这种方法具有更高的准确性和召回率,可以显着挽救人力资源,大大提高信息采集效率。

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