<div class="csl-bib-body">
<div class="csl-entry">Garigliotti, D., Bjerva, J., Nielsen, F., Butzbach, A., Lyhne, I., Kørnøv, L., & Hose, K. (2023). Do bridges dream of water pollutants? Towards DreamsKG, a knowledge graph to make digital access for sustainable environmental assessment come true. In Y. Ding, J. Tang, & J. Sequeda (Eds.), <i>WWW ’23 Companion: Companion Proceedings of the ACM Web Conference 2023</i> (pp. 724–730). ACM. https://doi.org/10.1145/3543873.3587590</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/177646
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dc.description.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.
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dc.language.iso
en
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dc.subject
Knowledge Graphs
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dc.subject
knowledge graph construction
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dc.subject
information retrieval
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dc.subject
business intelligence
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dc.subject
information extraction
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dc.subject
Sustainability Assessment
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dc.title
Do bridges dream of water pollutants? Towards DreamsKG, a knowledge graph to make digital access for sustainable environmental assessment come true
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
Aalborg University, Denmark
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dc.contributor.affiliation
Aalborg University, Denmark
-
dc.contributor.affiliation
Technical University of Denmark, Denmark
-
dc.contributor.affiliation
Aalborg University, Denmark
-
dc.contributor.affiliation
Aalborg University, Denmark
-
dc.contributor.affiliation
Aalborg University, Denmark
-
dc.contributor.editoraffiliation
data.world
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dc.relation.isbn
9781450394192
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dc.relation.doi
10.1145/3543873
-
dc.description.startpage
724
-
dc.description.endpage
730
-
dc.type.category
Full-Paper Contribution
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tuw.booktitle
WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023
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tuw.peerreviewed
true
-
tuw.relation.publisher
ACM
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tuw.researchTopic.id
I1
-
tuw.researchTopic.id
I4
-
tuw.researchTopic.name
Logic and Computation
-
tuw.researchTopic.name
Information Systems Engineering
-
tuw.researchTopic.value
80
-
tuw.researchTopic.value
20
-
tuw.publication.orgunit
E192-02 - Forschungsbereich Databases and Artificial Intelligence
-
tuw.publication.orgunit
E192 - Institut für Logic and Computation
-
tuw.publisher.doi
10.1145/3543873.3587590
-
dc.description.numberOfPages
7
-
tuw.author.orcid
0000-0002-0331-000X
-
tuw.author.orcid
0000-0002-9512-0739
-
tuw.author.orcid
0000-0001-6128-3356
-
tuw.author.orcid
0009-0007-0362-0036
-
tuw.author.orcid
0000-0002-0338-0593
-
tuw.author.orcid
0000-0002-2989-9553
-
tuw.author.orcid
0000-0001-7025-8099
-
tuw.editor.orcid
0000-0002-3991-2539
-
tuw.editor.orcid
0000-0003-3112-9299
-
tuw.event.name
The first international Workshop on Knowledge Graphs for Sustainability (KG4S) icw. The Web Conference 2023
en
dc.description.sponsorshipexternal
Independent Research Fund Denmark
-
dc.description.sponsorshipexternal
Innovation Fund Denmark (Innovationsfonden)
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dc.relation.grantnoexternal
8048-00051B
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dc.relation.grantnoexternal
0177-00021B
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tuw.event.startdate
30-04-2023
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tuw.event.enddate
05-05-2023
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Austin, Texas
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tuw.event.country
US
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tuw.event.presenter
Dario Garigliotti
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wb.sciencebranch
Informatik
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wb.sciencebranch
Mathematik
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wb.sciencebranch.oefos
1020
-
wb.sciencebranch.oefos
1010
-
wb.sciencebranch.value
80
-
wb.sciencebranch.value
20
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item.grantfulltext
none
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item.fulltext
no Fulltext
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item.openairetype
conference paper
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item.languageiso639-1
en
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.cerifentitytype
Publications
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crisitem.author.dept
Aalborg University, Denmark
-
crisitem.author.dept
Aalborg University, Denmark
-
crisitem.author.dept
Technical University of Denmark, Denmark
-
crisitem.author.dept
Aalborg University, Denmark
-
crisitem.author.dept
Aalborg University, Denmark
-
crisitem.author.dept
Aalborg University, Denmark
-
crisitem.author.dept
E192-02 - Forschungsbereich Databases and Artificial Intelligence