Social Choice Methods for Database Aggregation

F. Belardinelli, Umberto Grandi
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引用次数: 1

Abstract

Knowledge can be represented compactly in multiple ways, from a set of propositional formulas, to a Kripke model, to a database. In this paper we study the aggregation of information coming from multiple sources, each source submitting a database modelled as a first-order relational structure. In the presence of integrity constraints, we identify classes of aggregators that respect them in the aggregated database, provided these are satisfied in all individual databases. We also characterise languages for first-order queries on which the answer to a query on the aggregated database coincides with the aggregation of the answers to the query obtained on each individual database. This contribution is meant to be a first step on the application of techniques from social choice theory to knowledge representation in databases.
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数据库聚合的社会选择方法
知识可以用多种方式紧凑地表示,从一组命题公式,到Kripke模型,再到数据库。在本文中,我们研究了来自多个来源的信息的聚合,每个来源提交一个一阶关系结构模型的数据库。在存在完整性约束的情况下,我们确定在聚合数据库中尊重这些约束的聚合器类,前提是这些约束在所有单独的数据库中都得到满足。我们还描述了一阶查询的语言特征,其中聚合数据库上的查询答案与每个单独数据库上获得的查询答案的聚合一致。这一贡献意味着将社会选择理论的技术应用于数据库中的知识表示迈出了第一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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