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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:虽然架构映射规范是数据策策专家的繁琐任务,但对于非专家用户来说,这是不知所措的,他们不知所措地对所涉及的转换的语义和语言。在本文中,我们为适合的架构映射规范提供了一个互动框架非专家用户。基础密钥直觉是利用几个示例元组来推断底层映射并通过在初始示例元组的有效性的布尔查询的形式下通过简单的用户交互来迭代推动过程。到目前为止可获得的方法主要假设一对完整的通用数据示例,可以通过数据策委专家提供,或者仅限于表现不良的映射。我们提出了基于准格的探讨了所有可能的映射的空间满足任意用户示例元组。沿着探索,我们挑战用户以最佳地保留适合用户要求的映射并动态修剪探索空间,从而减少用户交互的数量。我们证明在细化过程之后,所获得的映射是正确的,完整的。我们提出了一个广泛的实验分析,旨在衡量我们的交互式映射策略的可行性以及所获得的映射的固有质量。

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