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Interactive Mapping Specification with Exemplar Tuples

机译:具有示例元组的交互式映射规范

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While schema mapping specification is a cumbersome task for data curation specialists, it becomes unfeasible for non-expert users, who are unacquainted with the semantics and languages of the involved transformations.In this article, we present an interactive framework for schema mapping specification suited for non-expert users. The underlying key intuition is to leverage a few exemplar tuples to infer the underlying mappings and iterate the inference process via simple user interactions under the form of Boolean queries on the validity of the initial exemplar tuples. The approaches available so far are mainly assuming pairs of complete universal data examples, which can be solely provided by data curation experts, or are limited to poorly expressive mappings.We present a quasi-lattice-based exploration of the space of all possible mappings that satisfy arbitrary user exemplar tuples. Along the exploration, we challenge the user to retain the mappings that fit the user's requirements at best and to dynamically prune the exploration space, thus reducing the number of user interactions. We prove that after the refinement process, the obtained mappings are correct and complete. We present an extensive experimental analysis devoted to measure the feasibility of our interactive mapping strategies and the inherent quality of the obtained mappings.
机译:尽管架构映射规范对于数据管理专家来说是一项繁重的任务,但对于不熟悉所涉及转换的语义和语言的非专家用户而言,它变得不可行。在本文中,我们提供了一个适用于架构映射规范的交互式框架非专家用户。基本的关键直觉是利用一些示例元组来推断基础映射,并通过简单的用户交互以布尔形式查询关于初始示例元组的有效性的迭代过程。到目前为止可用的方法主要是假设一对完整的通用数据示例,这些示例可以仅由数据策展专家提供,或者仅限于表达能力较弱的映射。我们提出了一种基于准格子的所有可能映射空间的探索方法,这些方法满足任意用户示例元组。在探索过程中,我们向用户提出挑战,要求他们保留最适合用户需求的映射并动态修剪探索空间,从而减少用户交互的次数。我们证明,经过细化处理后,所获得的映射是正确且完整的。我们提供了广泛的实验分析,旨在衡量我们的交互式映射策略的可行性以及所获得映射的固有质量。

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