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Scoring results in a geospatial services search engine according to geographic and semantic awareness

机译:根据地理和语义意识对地理空间服务搜索引擎进行评分

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Nowadays, there are a huge number of Spatial Data Infrastructures (SDIs) offering public spatial services. For this reason, it is very difficult for a user to know what spatial service could satisfy his/her needs. The SDI community now demands an approach for integrating SDI services and relating them with semantic features. In order to contribute to a solution, in this paper we propose an approach based on IR (Information Retrieval) for building a search engine which helps users to find geographical information, available on the Internet, about different concepts located in a particular administrative division. In our approach, a novel algorithm updates an inverted index, taking into account semantic relationships between concepts which are obtained from ontologies. Furthermore, results are sorted by conceptual and geographic criteria fitting the user query.
机译:如今,有大量提供公共空间服务的空间数据基础架构(SDI)。因此,用户很难知道哪种空间服务可以满足他/她的需求。 SDI社区现在需要一种集成SDI服务并将其与语义功能相关联的方法。为了为解决方案做出贡献,在本文中,我们提出了一种基于IR(信息检索)的方法来构建搜索引擎,该搜索引擎可以帮助用户查找Internet上有关特定行政区划中不同概念的地理信息。在我们的方法中,考虑到从本体获得的概念之间的语义关系,一种新颖的算法更新了倒排索引。此外,结果将根据适合用户查询的概念和地理标准进行排序。

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