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Comparing Several Textual InformationRetrieval Systems for the Geographical Information Retrieval Task

机译:比较几种文本信息传神系统的地理信息检索任务

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This paper presents a comparison between three different Information Retrieval (IR) systems employed in a particular Geographical Information Retrieval (GIR) system, the GeoUJA IR, a GIR architecture developed by the SINAI research group. It could be interesting and useful for determining which of the most used IR systems works better in GIR task. In the experiments, we have used the Lemur, Terrier and Lucene search engines using mono and bilingual queries. We present baseline cases, without applying any external processes, such as query expansion or filtering. In addition, we have used the default settings of each IR system. Results show that Lemur works better using monolingual queries and Terrier works better using the bilingual ones.
机译:本文介绍了特定地理信息检索(GIR)系统中采用的三种不同信息检索(IR)系统,Geouja IR,由西奈研究组开发的GIR建筑。它可能是有趣的,并且有助于确定最常用的IR系统在GIR任务中更好地工作。在实验中,我们使用了使用单声道和双语查询的狐猴,梗犬和灯光搜索引擎。我们呈现基线案例,而无需应用任何外部进程,例如查询扩展或过滤。此外,我们使用每个IR系统的默认设置。结果表明,利用单明的询问和梗使用双语的射击率更好地使用狐猴。

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