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Abstract
An environmental assessment (EA) report describes and assesses the environmental impact of a series of activities involved in the development of a project. As such, EA is a key tool for sustainability. Improving information access to EA reporting is a billion-euro untapped business opportunity to build an engaging, efficient digital experience for EA. We aim to become a landmark initiative in making this experience come true, by transforming the traditional manual assessment of numerous heterogeneous reports by experts into a computer-assisted approach. Specifically, a knowledge graph that represents and stores facts about EA practice allows for what it is so far only accessible manually to become machine-readable, and by this, to enable downstream information access services. This paper describes the ongoing process of building DreamsKG, a knowledge graph that stores relevant data- and expert-driven EA reporting and practicing in Denmark. Representation of cause-effect relations in EA and integration of Sustainable Developmental Goals (SDGs) are among its prominent features.
Original language | English |
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Title of host publication | ACM Web Conference 2023 - Proceedings of the Comopanion of the : 2023 World Wide Web Conference |
Number of pages | 7 |
Publisher | Association for Computing Machinery |
Publication date | 30 Apr 2023 |
Pages | 724-730 |
ISBN (Electronic) | 978-1-4503-9416-1 |
DOIs | |
Publication status | Published - 30 Apr 2023 |
Event | The ACM Web Conference 2023 - Austin, United States Duration: 30 Apr 2023 → 4 May 2023 |
Conference
Conference | The ACM Web Conference 2023 |
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Country/Territory | United States |
City | Austin |
Period | 30/04/2023 → 04/05/2023 |
Keywords
- Cause-effect relations
- Knowledge graph construction
- Knowledge graphs
- Sustainability
Fingerprint
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Poul Due Jensen Professorate in Big Data and Artificial Intelligence
Hose, K., Jendal, T. E. & Hansen, E. R.
01/11/2019 → 31/10/2024
Project: Research
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DREAMS: Digitally supported Environmental Assessment for Sustainable Development Goals
Kørnøv, L., Lyhne, I., Nielsen, P. A., Hose, K., Zada, A. M., Bjerva, J., Garigliotti, D. & Jensen, C.
01/10/2020 → 30/09/2023
Project: Research