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Query Ranking in Information Integration

机译:信息集成中的查询排名

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Given the growing number of structured and evolving online repositories, the need for lightweight information integration has increased in the past years. We have developed an integration approach which relies on partial mappings for query rewriting and combines them with a controlled way of relaxation. In this paper we propose a novel approach for ranking results of such rewritten and relaxed queries over different sources, by punishing lack of confidence in mappings used for rewriting, as well as punishing higher degrees of controlled relaxation introduced, and present the performed evaluation.
机译:鉴于结构化和不断发展的在线存储库的数量不断增加,在过去几年中,对轻型信息集成的需求不断增长。我们已经开发了一种集成方法,该方法依赖于部分映射进行查询重写,并将它们与受控的放松方式结合在一起。在本文中,我们提出了一种新颖的方法,通过惩罚对用于重写的映射的信心不足以及惩罚引入的较高程度的受控放松,来对不同来源的此类重写和宽松查询的结果进行排名,并提出进行的评估。

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