A Context-driven Querying System for Urban Graph Analysis
Jacques Chabin, Luiz Gomes-Jr, Mírian Halfeld Ferrari · 2018
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.