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Graph versioning for evolving urban data

Jey Puget Gil, Emmanuel Coquery, John Samuel, Gilles Gesquiere

TL;DR

The need and possible approaches for querying across multiple graph versions and the need and possible approaches for querying across multiple graph versions are explained.

Abstract

The continuous evolution of cities poses significant challenges in terms of managing and understanding their complex dynamics. With the increasing demand for transparency and the growing availability of open urban data, it has become important to ensure the reproducibility of scientific research and computations in urban planning. To understand past decisions and other possible scenarios, we require solutions that go beyond the management of urban knowledge graphs. In this work, we explore existing solutions and their limits and explain the need and possible approaches for querying across multiple graph versions.

Graph versioning for evolving urban data

TL;DR

The need and possible approaches for querying across multiple graph versions and the need and possible approaches for querying across multiple graph versions are explained.

Abstract

The continuous evolution of cities poses significant challenges in terms of managing and understanding their complex dynamics. With the increasing demand for transparency and the growing availability of open urban data, it has become important to ensure the reproducibility of scientific research and computations in urban planning. To understand past decisions and other possible scenarios, we require solutions that go beyond the management of urban knowledge graphs. In this work, we explore existing solutions and their limits and explain the need and possible approaches for querying across multiple graph versions.
Paper Structure (5 sections)