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Bipolar queries in textual information retrieval: A new perspective

机译:文本信息检索中的双极查询:新视角

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摘要

A new concept of a bipolar query against collections of textual documents, i.e. in the context of information retrieval (IR), is introduced using recent developments in bipolar information modeling and bipolar database queries. Specifically, a particular approach to bipolar queries with an explicit "and possibly" type of an aggregation operator is used. An effective and efficient processing of such bipolar queries using standard IR data structures is briefly discussed. The bipolar queries proposed combine a flexibility provided by fuzzy logic with a more sophisticated representation of user preferences and intentions. This combination can make the search of vast resources of textual document, notably those available via the Internet, more intelligent.
机译:利用双极性信息建模和双极性数据库查询的最新发展,引入了针对文本文档集合的双极性查询的新概念,即在信息检索(IR)的上下文中。具体而言,使用一种具有显式“可能”类型的聚合运算符的双极查询的特定方法。简要讨论了使用标准IR数据结构对此类双极查询的有效处理。提出的双极查询将模糊逻辑提供的灵活性与用户偏好和意图的更复杂表示相结合。这种结合可以使文本文档的大量资源(尤其是可通过Internet获得的文本资源)的搜索更加智能。

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