Graph versioning for evolving urban data

TL;DR

This paper discusses the challenges of managing evolving urban data through graph versioning, emphasizing the importance of reproducibility and querying across multiple graph versions for urban planning insights.

Contribution

It analyzes existing solutions for urban graph management, identifies their limitations, and proposes approaches for effective querying across multiple graph versions.

Findings

Existing solutions have limitations in handling urban graph evolution

Querying across multiple graph versions is essential for urban planning

Approaches for multi-version graph querying are proposed

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.