Aarhus Universitets segl

Curating/Fermenting Data: data workflows for semantic web applications Curating/Fermenting Data

Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskningpeer review

DOI

  • Magdalena Tyżlik-Carver
  • Lozana Rossenova, Leibniz Information Centre for Science and Technology (TIB), Tyskland
  • Lukas Fuchsgruber, Technical University of Berlin, Tyskland
This one-day workshop will bring together HCI researchers, Linked Open Data (LOD) experts, curators, designers and cultural practitioners to explore applications of LOD for the creation of participatory datasets. The aim of the workshop is to work with a collection of small unstructured data while engaging with questions of ethical data use in HCI design and working with data against a “colonial impulse” [22]. Starting from the Curating Data diagram (Appendix 1) and working with data gathered during a series of workshops in the project Fermenting Data [48], we will create speculative ontologies for the Fermenting Data dataset. The practice component of the workshop will interrogate the design of data curation workflows for semantic web applications, while working with actual ferments in order to physically engage with the process at the source of this dataset.
OriginalsprogEngelsk
TitelParticipative Computing for Sustainable Futures : Adjunct Proceedings of the 12th Nordic Conference on Human-Computer Interaction (NordiCHI’22
Antal sider5
UdgivelsesstedNew York
ForlagAssociation for Computing Machinery
Udgivelsesårokt. 2022
Artikelnummer2
ISBN (Elektronisk)978-1-4503-9448-2
DOI
StatusUdgivet - okt. 2022
Begivenhed12th Nordic Conference on Human-Computer Interaction: Participative Computing for Sustainable Futures, NordiCHI 2022 - Aarhus, Danmark
Varighed: 8 okt. 202212 okt. 2022

Konference

Konference12th Nordic Conference on Human-Computer Interaction: Participative Computing for Sustainable Futures, NordiCHI 2022
LandDanmark
ByAarhus
Periode08/10/202212/10/2022
SponsorAarhus Universitet, DIREC, IT-Vest, Stibo Fond

Bibliografisk note

Publisher Copyright:
© 2022 Owner/Author.

Se relationer på Aarhus Universitet Citationsformater

Aktiviteter

Projekter

ID: 285315972