多模型数据的分类管理

I. Holubová, Pavel Contos, M. Svoboda
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引用次数: 2

摘要

在这篇远景论文中,我们介绍了一个框架的概念,它将使我们能够以统一和抽象的方式建模、表示和管理多模型数据。它的核心思想利用了范畴论提供的结构,范畴论足够通用,但仍然足够简单,可以涵盖当代数据库中使用的任何逻辑数据模型。着眼于有前景的特性,并考虑成熟和验证的原理,我们概述了框架的关键部分,并概述了需要进一步研究的开放性问题和研究方向。最终目标是追求自调优系统的思想,该系统将允许我们将传统理解的概念层和逻辑层分解为单个模型,从而允许对模式、数据实例和查询进行统一处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Categorical Management of Multi-Model Data
In this vision paper, we introduce an idea of a framework that would enable us to model, represent, and manage multi-model data in a unified and abstract way. Its core idea exploits constructs provided by category theory, which is sufficiently general but still simple enough to cover any of the logical data models used in contemporary databases. Focusing on promising features and taking into account mature and verified principles, we overview the key parts of the framework and outline open questions and research directions that need to be further investigated. The ultimate objective is to pursue the idea of a self-tuning system that would permit us to collapse the traditionally understood conceptual and logical layers into just a single model allowing for unified handling of schemas, data instances, as well as queries.
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