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Map-Based Filters for Fuzzy Entities in Geographical Information Retrieval

机译:基于地图的地理信息检索中的模糊实体过滤器

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Many users employ vague geographical expressions to query Information Retrieval systems. These fuzzy entities do not appear neither in gazetteers nor in geographical databases. Searches such as "Ski resorts in north-central Spain" or "Restaurants near the Teatro Real of Madrid" often do not get the expected results, mainly due to the difficulty of disambiguating expressions like "north of" or "near". This paper presents a first approach to deal with this kind of fuzzy expressions, with the aim of improving the coverage and accuracy of traditional Information Retrieval systems. Our approach is based on the use of raster images as geographic filters to determine the relevance of the documents depending on the location of places referenced in them.
机译:许多用户使用模糊的地理表达来查询信息检索系统。这些模糊实体既不出现在公鸡也不出现在地理数据库中。搜索如“西班牙北部的滑雪胜地”或“马德里Teatro真实的餐馆”往往没有得到预期的结果,主要是由于难以消化不谋的表达式,如“北”或“近”。本文提出了一种处理这种模糊表达的第一种方法,目的是提高传统信息检索系统的覆盖率和准确性。我们的方法基于将光栅图像用作地理筛选条件,以确定文档的相关性,具体取决于它们中引用的地方的位置。

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