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Ontology Based Segmentation of Geo-Referenced Queries

机译:基于本体参考查询的分段

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The last generation of search engines is confronted with complex queries, whose expression goes beyond the capability of the Bag of Word model and requires the systems which understand query sentences. Among these queries, huge importance is taken by geo-referenced queries, i.e. queries whose understanding requires localizing objects of interest, where the user location is the most important parameter. In this paper, we focus on geo-referenced queries and show how natural language analysis can be used to decompose queries into sub-queries and associating them to suitable real-world objects. In this paper we propose a syntactic and semantic approach, which uses syntactic query segmentation techniques and the ontological notion of geographic concepts to produce good query interpretations; an analysis of the method shows its practical viability.
机译:最后一代搜索引擎面临着复杂的查询,其表达式超出了Word模型的袋子的能力,并且需要了解查询句子的系统。在这些查询中,通过地理引用的查询拍摄了巨大的重要性,即其理解需要本地化感兴趣对象的查询,其中用户位置是最重要的参数。在本文中,我们专注于地理引用的查询,并显示如何使用自然语言分析来分解为子查询并将它们与合适的真实对象相关联。在本文中,我们提出了一种句法和语义方法,它使用句法查询分段技术和地理概念的本体论概念来产生良好的查询解释;该方法的分析显示了其实际可行性。

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