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Neo4j Live: SustainGraph – A Knowledge Graph for Sustainable Development
Presenters: Eleni Fotopoulou, Ioanna Mandilara
Summary: In this talk, we are going to navigate through SustainGraph. SustainGraph is a Knowledge Graph that is developed in the framework of the ARSINOE H2020 project to track information related to the progress towards the achievement of targets defined in the United Nations Sustainable Development Goals (SDGs) at national and regional levels. The SustainGraph aims to act as a unified source of knowledge around information related to the SDGs, by taking advantage of the power provided by the development of graph databases and the exploitation of Machine Learning (ML) techniques for data population, knowledge production and analysis. Upon providing an overview of the main entities represented in SustainGraph, a demonstration session is going to take place. We are going to navigate in the graph based on a set of queries, produce visualizations and examine ML-driven data population pipelines.
SustainGraph publication:
https://www.frontiersin.org/articles/10.3389/fenvs.2022.1003599/full
GitLab repository: https://gitlab.com/netmode/sustaingraph
ARSINOE project: https://arsinoe-project.eu/
Twitter accounts:
https://twitter.com/ElTheKits
https://twitter.com/ioanna_mand96
https://twitter.com/ARSINOE_EU
Summary: In this talk, we are going to navigate through SustainGraph. SustainGraph is a Knowledge Graph that is developed in the framework of the ARSINOE H2020 project to track information related to the progress towards the achievement of targets defined in the United Nations Sustainable Development Goals (SDGs) at national and regional levels. The SustainGraph aims to act as a unified source of knowledge around information related to the SDGs, by taking advantage of the power provided by the development of graph databases and the exploitation of Machine Learning (ML) techniques for data population, knowledge production and analysis. Upon providing an overview of the main entities represented in SustainGraph, a demonstration session is going to take place. We are going to navigate in the graph based on a set of queries, produce visualizations and examine ML-driven data population pipelines.
SustainGraph publication:
https://www.frontiersin.org/articles/10.3389/fenvs.2022.1003599/full
GitLab repository: https://gitlab.com/netmode/sustaingraph
ARSINOE project: https://arsinoe-project.eu/
Twitter accounts:
https://twitter.com/ElTheKits
https://twitter.com/ioanna_mand96
https://twitter.com/ARSINOE_EU