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LP-12: Linked Data, Semantic Data and Biased Data
Time:
Thursday, 17/July/2025:
9:00am - 10:30am
Session Chair: Kim Martin , University of Guelph
Location: B304 (TB) Zoom link to be included 64 places
Presentations
The ReFa Reader- A visual makeover for your semantic data
Linda Freyberg 1 , Giacomo Nanni2
1 DIPF | Leibniz Institute for Research and Inf. in Education, Germany; 2 metaLAB (at) FU Berlin, Germany
In this long paper a visual interface, the "ReFa Reader", which combines narrations and the exploration of semantic graph structures is presented. After a brief introduction of the functionalities of the Reader, three workflows on how to reuse this Open Source Prototype by any project with semantic data are elaborated.
Reading between the letters. Exploring biases, gaps, and context in historical correspondence data
Aline JE Deicke 1,2 , Elena Suárez Cronauer 1
1 Academy of Sciences and Literature | Mainz; 2 Philipps-University Marburg, Germany
On a dataset containing correspondences from the literary period of Early Romanticism, this submission aims to uncover gaps and biases in the data, investigate their impact, and mitigate their effect. For this purpose, it develops a mixed methods-approach including the use of knowledge graphs, data visualisation, and historical network research.
Keeping it in Context: Serendipity, Linked Data, and User Experience at LINCS
Kim Martin
University of Guelph, Canada
The Linked Infrastructure for Networked Cultural Scholarship (LINCS) mobilizes Canadian scholarship through making, disseminating, and promoting the use of linked open data (LOD). This paper will reflect on the user-experience (UX) work done at LINCS, focussing on the roles of context and agency in supporting serendipity in a linked-data environment.