Nielsen, F. Å., Lyhne, I., Garigliotti, D., Butzbach, A., Ravn Boess, E., Hose, K., & Kørnøv, L. (2023). Environmental impact assessment reports in Wikidata and a Wikibase. In Joint Proceedings of the ESWC 2023 Workshops and Tutorials co-located with 20th European Semantic Web Conference (ESWC 2023) (pp. 1–8). CEUR-WS.org. https://doi.org/10.34726/5421
E192-02 - Forschungsbereich Databases and Artificial Intelligence
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Published in:
Joint Proceedings of the ESWC 2023 Workshops and Tutorials co-located with 20th European Semantic Web Conference (ESWC 2023)
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Volume:
3443
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Date (published):
2023
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Event name:
20th European Semantic Web Conference (ESWC 2023)
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Event date:
28-May-2023 - 1-Jun-2023
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Event place:
Hersonissos, Greece
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Number of Pages:
8
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Publisher:
CEUR-WS.org
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Peer reviewed:
Yes
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Keywords:
Environmental impact assessment (EIA); Wikibase; Wikidata; VisualImpact; NoiseImpact; TrafficChange; Ontologies; Metadata; SuperPattern Ontology; SPARQL; Applications; URI fragment
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Abstract:
Environmental impact assessment (EIA) is a required process for projects in many countries, which results in the preparation and publication of a detailed report. Such EIA reports describe impacts on, e.g., humans and the environment. In this paper, we describe our efforts in modeling the metadata of EIA reports and their description of environmental impacts and mitigations with Wikidata and Wikibase. We show that it is possible to record the bibliographic metadata of Danish EIA reports and in doing so link it to the rest of the Wikidata knowledge graph, allowing multilingual search. With our dedicated instance of a Wikibase, we show how EIA reports and their associated projects along with activities, impacts, recipients, and mitigations can be represented and how we can show aggregated views of the data based on SPARQL templates so that users can explore the data and make efficient use of it.
CC BY 4.0
