<div class="csl-bib-body">
<div class="csl-entry">Shavalieva, G., Papadokonstantakis, S., & Peters, G. (2022). Knowledge mining from scientific literature for acute aquatic toxicity: classification for hybrid predictive modelling. In <i>32nd European Symposium on Computer Aided Process Engineering</i> (pp. 1465–1470). Elsevier. https://doi.org/10.1016/B978-0-323-95879-0.50245-9</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/158298
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dc.description.abstract
This work proposes a systematic method consisting of state-of-the-art text processing approaches and human-machine interaction for the extraction of useful sentences and data in tabular, graphical, and numerical form, containing information particularly relevant for hybrid modelling. It is applied to the domain of acute aquatic toxicity of chemicals, which is particularly relevant for the safety, health, and environmental hazard assessment of chemicals. Nearly 400 papers from 2000-2021 were identified and processed with the proposed method. The results indicate that the vast amount of knowledge can be efficiently processed in orders of magnitude faster than conventional methods without loss of detail and interpretation depth. The information is in a form that can be useful in hybrid modelling with respect to model and predictor selection, prioritization, and constraints, addressing data gaps, and validating and interpreting model performance.
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dc.language.iso
en
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dc.subject
machine learning
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dc.subject
sustainability
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dc.subject
text mining
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dc.title
Knowledge mining from scientific literature for acute aquatic toxicity: classification for hybrid predictive modelling
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dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
Chalmers Tekniska Högskola
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dc.contributor.affiliation
Chalmers Tekniska Högskola
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dc.relation.isbn
978-0-323-95879-0
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dc.relation.doi
10.1016/c2021-1-01571-1
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dc.description.startpage
1465
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dc.description.endpage
1470
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dc.type.category
Full-Paper Contribution
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dc.relation.eissn
1570-7946
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tuw.booktitle
32nd European Symposium on Computer Aided Process Engineering
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tuw.container.volume
51
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tuw.relation.publisher
Elsevier
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tuw.researchTopic.id
E6
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tuw.researchTopic.id
C4
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tuw.researchTopic.id
C6
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tuw.researchTopic.name
Sustainable Production and Technologies
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tuw.researchTopic.name
Mathematical and Algorithmic Foundations
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tuw.researchTopic.name
Modeling and Simulation
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tuw.researchTopic.value
20
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tuw.researchTopic.value
30
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tuw.researchTopic.value
50
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tuw.publication.orgunit
E166-06 - Forschungsbereich Systemverfahrenstechnik für Bioressourcen und Nachhaltigkeit
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tuw.publisher.doi
10.1016/B978-0-323-95879-0.50245-9
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dc.description.numberOfPages
6
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tuw.author.orcid
0000-0001-6424-8505
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tuw.event.name
ESCAPE-32
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tuw.event.startdate
12-06-2022
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tuw.event.enddate
15-06-2022
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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.country
FR
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tuw.event.presenter
Papadokonstantakis, Stavros
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wb.sciencebranch
Chemische Verfahrenstechnik
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wb.sciencebranch
Informatik
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wb.sciencebranch
Umwelttechnik
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wb.sciencebranch.oefos
2040
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
2071
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wb.sciencebranch.value
20
-
wb.sciencebranch.value
40
-
wb.sciencebranch.value
40
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item.openairetype
Inproceedings
-
item.openairetype
Konferenzbeitrag
-
item.grantfulltext
restricted
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item.cerifentitytype
Publications
-
item.cerifentitytype
Publications
-
item.languageiso639-1
en
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item.openairecristype
http://purl.org/coar/resource_type/c_18cf
-
item.openairecristype
http://purl.org/coar/resource_type/c_18cf
-
item.fulltext
no Fulltext
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crisitem.author.dept
Chalmers Tekniska Högskola
-
crisitem.author.dept
E166-06 - Forschungsbereich Bioressourcen und Pflanzenwissenschaften
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crisitem.author.dept
Chalmers Tekniska Högskola
-
crisitem.author.orcid
0000-0001-6424-8505
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crisitem.author.parentorg
E166 - Institut für Verfahrenstechnik, Umwelttechnik und technische Biowissenschaften