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 |
|---|---|
| Title of host publication | Proceedings of The ACM Web Conference 2023 (WWW ’23 Companion) |
| Publisher | ACM |
| Publication date | 2023 |
| Pages | 724-730 |
| ISBN (Electronic) | 978-1-4503-9419-2 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | The ACM Web Conference 2023 - Austin, United States Duration: 30 Apr 2023 → 4 May 2023 |
Conference
| Conference | The ACM Web Conference 2023 |
|---|---|
| Country/Territory | United States |
| City | Austin |
| Period | 30/04/2023 → 04/05/2023 |
Keywords
- Cause-effect relations
- Knowledge graph construction
- Knowledge graphs
- Sustainability
Fingerprint
Dive into the research topics of 'Do bridges dream of water pollutants? Towards DreamsKG, a knowledge graph to make digital access for sustainable environmental assessment come true'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver