城市图分析的上下文驱动查询系统

Proceedings of the 22nd International Database Engineering & Applications Symposium Pub Date : 2018-06-18 DOI:10.1145/3216122.3216148

Jacques Chabin, L. Gomes, Mirian Halfeld-Ferrari

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引用次数: 2

摘要

本文提出了一个用于城市计算的上下文驱动查询系统，其中用户负责定义他们自己的限制，在这些限制上构建类似数据的查询。我们的目标是在查询过程中过滤一致的数据，而不是对数据库施加约束。我们的查询语言能够在递归规则中表达聚合，允许它捕获图分析的典型网络属性。本文介绍了我们的查询系统，并通过城市计算中的用例分析了它的功能。

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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A Context-driven Querying System for Urban Graph Analysis

This paper presents a context-driven query system for urban computing where users are responsible for defining their own restrictions over which datalog-like queries are built. Instead of imposing constraints on databases, our goal is to filter consistent data during the query process. Our query language is able to express aggregates in recursive rules, allowing it to capture network properties typical of graph analysis. This paper presents our query system and analyzes its capabilities using use cases in Urban Computing.

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Proceedings of the 22nd International Database Engineering & Applications Symposium

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