<div class="csl-bib-body">
<div class="csl-entry">Ekaputra, F. J., Waltersdorfer, L., Breit, A., & Sabou, M. (2022). Towards a Standardized Description of Semantic Web Machine Learning Systems. In U. Simsek, D. Chaves-Fraga, T. Pellegrini, & S. Vahdat (Eds.), <i>Proceedings of Poster and Demo Track and Workshop Track of the 18th International Conference on Semantic Systems, co-located with 18th International Conference on Semantic Systems (SEMANTiCS 2022)</i>. http://hdl.handle.net/20.500.12708/190042</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/190042
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dc.description.abstract
In this paper, we report on our proposed approach towards a standardized description for systems combining machine learning (ML) components with techniques developed by the Semantic Web (SW) community (SWeMLS), which is one of lessons learned from our large-scale survey (476 papers) on the topic. We elaborate the key information that should be described of SWeMLS and selected methods to support its documentation.
en
dc.description.sponsorship
FFG - Österr. Forschungsförderungs- gesellschaft mbH
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dc.language.iso
en
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dc.relation.ispartofseries
CEUR Workshop Proceedings
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dc.subject
machine learning
en
dc.subject
neuro-symbolic systems
en
dc.subject
semantic web
en
dc.title
Towards a Standardized Description of Semantic Web Machine Learning Systems
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
Semantic Web Company (Austria), Austria
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dc.relation.grantno
877389
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dc.type.category
Poster Contribution
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dc.relation.eissn
1613-0073
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tuw.booktitle
Proceedings of Poster and Demo Track and Workshop Track of the 18th International Conference on Semantic Systems, co-located with 18th International Conference on Semantic Systems (SEMANTiCS 2022)
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tuw.container.volume
3235
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tuw.peerreviewed
true
-
tuw.project.title
Ontology-Based ARtificial Intelligence in the Environmental Sector
-
tuw.researchTopic.id
I4
-
tuw.researchTopic.name
Information Systems Engineering
-
tuw.researchTopic.value
100
-
tuw.linking
https://ceur-ws.org/Vol-3235/
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tuw.publication.orgunit
E194-04 - Forschungsbereich Data Science
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dc.description.numberOfPages
4
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tuw.author.orcid
0000-0001-9301-8418
-
tuw.editor.orcid
0000-0003-3236-2789
-
tuw.editor.orcid
0000-0002-6043-4877
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tuw.event.name
Posters, Demos and Workshops at SEMANTiCS 2022
en
tuw.event.startdate
13-09-2022
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tuw.event.enddate
15-09-2022
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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.place
Vienna
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tuw.event.country
AT
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tuw.event.presenter
Ekaputra, Fajar J.
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tuw.event.track
Multi Track
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wb.sciencebranch
Informatik
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wb.sciencebranch
Wirtschaftswissenschaften
-
wb.sciencebranch.oefos
1020
-
wb.sciencebranch.oefos
5020
-
wb.sciencebranch.value
90
-
wb.sciencebranch.value
10
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item.languageiso639-1
en
-
item.openairetype
conference poster
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item.grantfulltext
none
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item.fulltext
no Fulltext
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_6670
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crisitem.author.dept
E194-04 - Forschungsbereich Data Science
-
crisitem.author.dept
E194-04 - Forschungsbereich Data Science
-
crisitem.author.dept
Semantic Web Company (Austria)
-
crisitem.author.dept
E194-04 - Forschungsbereich Data Science
-
crisitem.author.orcid
0000-0003-4569-2496
-
crisitem.author.orcid
0000-0001-9301-8418
-
crisitem.author.parentorg
E194 - Institut für Information Systems Engineering
-
crisitem.author.parentorg
E194 - Institut für Information Systems Engineering
-
crisitem.author.parentorg
E194 - Institut für Information Systems Engineering
-
crisitem.project.funder
FFG - Österr. Forschungsförderungs- gesellschaft mbH
