ConVer-G: Concurrent versioning of knowledge graphs

TL;DR

ConVer-G is a system designed to store and query multiple concurrent versions of urban knowledge graphs, enabling better understanding of urban data evolution for research and decision-making.

Contribution

This paper introduces ConVer-G, a novel system for managing and querying concurrent versions of knowledge graphs, specifically applied to urban data.

Findings

Supports efficient querying of multiple urban data versions

Enables tracking of urban data evolution over time

Facilitates better urban planning and decision-making

Abstract

The multiplication of platforms offering open data has facilitated access to information that can be used for research, innovation, and decision-making. Providing transparency and availability, open data is regularly updated, allowing us to observe their evolution over time. We are particularly interested in the evolution of urban data that allows stakeholders to better understand dynamics and propose solutions to improve the quality of life of citizens. In this context, we are interested in the management of evolving data, especially urban data and the ability to query these data across the available versions. In order to have the ability to understand our urban heritage and propose new scenarios, we must be able to search for knowledge through concurrent versions of urban knowledge graphs. In this work, we present the ConVer-G (Concurrent Versioning of knowledge Graphs) system for storage and querying through multiple concurrent versions of graphs.