Open Research Europe

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Published May 30, 2022 | Version 1
Journal article Open

A data-driven global observatory addressing worldwide challenges through text mining and complex data visualisation

Authors/Creators

  • 1. Quintelligence, Ljubljana, Slovenia
  • 2. Institute Jozef Stefan, Ljubljana, Slovenia
  • 3. Aguas del Alicante, Alicante, Spain
  • 4. Public Health England, Salisbury, UK

Description

Introduction: Observing the world on a global scale can help us understand better the context of problems that engage us all. Methods: In this paper, we propose a data-driven global observatory that puts together the different perspectives of media, science, statistics and sensing over heterogeneous data sources and text mining algorithms. Results: The implementation of this global observatory in the context of epidemic intelligence, monitoring the impact of the COVID-19 pandemic, allowed us to provide decision-makers with real-time insight from the data visualised through meaningful animations and interactive components. In the context of the climate change, we implemented the proposed methodology with a specific focus on water resource management, taking into consideration local configurations. Conclusion: This approach is able to capture through state-of-the-art machine learning methods the value of a global perspective on highly impactful topics, including local contexts and priorities as a configurable dimension.

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Additional details

Related works

Cites
10.1109/MCI.2020.3019898 (DOI)
10.1080/02508060.2017.1407561 (DOI)
10.1016/0022-1694(69)90020-1 (DOI)

References

  • (null). WHO Director-General's opening remarks at the media briefing on COVID-19 -11 March 2020.
  • (2020). WHO COVID-19 Dashboard.
  • (null). COVID-19 Open Research Dataset Challenge.
  • (2020). COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv.
  • (2020). Zenodo Coronavirus Disease Research Community.
  • (2020). Coronavirus Watch portal.
  • (2020). WorldoMeters.
  • (2020). Center for Disease Control and Prevention.
  • (2020). COVID-19 Community Mobility Report.
  • Massri B, Costa JP (2021). A global COVID-19 observatory, monitoring the pandemics throughtext mining and visualization.
  • Pita Costa J, Grobelnik M, Fuart F (2020). Meaningful Big Data Integration For a Global COVID-19 Strategy. Computer Intelligence Magazine. doi:10.1109/MCI.2020.3019898
  • (2019). European Green Deal.
  • (2019). Water Scarcity and Droughts in the European Union.
  • (2021). NAIADES Project Portal.
  • (2020). NAIADES Water Observatory.
  • (2020). Water Use Stress.
  • (null). Goal6 -clean water and sanitation.
  • Blazhevska V (2020). United Nations launches framework to speed up progress on water and sanitation goal.
  • (2011). Water governance in OECD countries: A multi-level approach.
  • Akhmouch A, Clavreul D, Glas P (2018). Introducing the OECD principles on water governance. Water International. doi:10.1080/02508060.2017.1407561
  • Freeze RA, Harlan RL (1969). Blueprint for a physically-based, digitally-simulated hydrologic response model. J Hydrol. doi:10.1016/0022-1694(69)90020-1
  • Ramamoorthi A (1983). Snow-melt run-offstudies using remote sensing data. Sadhana.
  • (2018). Blue Dot Observatory.
  • (2019). GoAigua - Smart Water for a Better World.
  • (2022). MEDLINE: Description of the Database.
  • (2022). IJS Newsfeed: a clean, continuous, real-time aggregated stream of semantically enriched news articles from RSS- enabled sites across the world.