ScholarLensViz: A Visualization Framework for Transparency in Semantic User Profiles
Submitted by rene on Sun, 2021-05-30 16:29
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Printer-friendly versionPDF version| Title | ScholarLensViz: A Visualization Framework for Transparency in Semantic User Profiles |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Refereed Designation | Refereed |
| Authors | Löffler, F., V. Wesp, S. Babalou, P. Kahn, R. Lachmann, B. Sateli, R. Witte, and B. König-Ries |
| Editors | Taylor, K. L., R. S. Gonçalves, F. Lécué, and J. Yan |
| Conference Name | Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), Globally online, November 1-6, 2020 (UTC) |
| Tertiary Title | CEUR Workshop Proceedings |
| Volume | 2721 |
| Pagination | 20–25 |
| Date Published | 11/2020 |
| Publisher | CEUR-WS.org |
| Conference Location | [Online] |
| Keywords | LOD, Provenance, Semantic User Profiles, Visualization |
| Abstract | Personalized applications are a two-edged sword. They are convenient and assist users by keeping the focus on relevant topics, but they are often black boxes and users typically do not know why certain entries appear in their profile. As transparency and provenance are essential for researchers, in this paper, we introduce ScholarLensViz, a visualization component for scholarly user profiles displaying a scholar's research competences including the provenance. It also provides visualizations to inspect the diversity of a profile and to analyze the semantic similarity of the profile entries. |
| URL | http://ceur-ws.org/Vol-2721/paper485.pdf |
| Copyright | Copyright ©2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0) |
| Attachment | Size |
|---|---|
| paper485.pdf | 1.03 MB |
