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A virtual “Werkstatt” for digitization in the sciences
ABECTO: An ABox Evaluation and Comparison Tool for Ontologies
Combining Image and Caption Analysis for Classifying Charts in Biodiversity Texts
CoMerger: A Customizable Online Tool for Building a Consistent Quality-Assured Merged Ontology
How good is this merged ontology?
JenTab: Matching Tabular Data to Knowledge Graphs
Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles
Matching Biodiversity and Ecology Ontologies: Challenges & Evaluation Results
Objects Detection from Digitized Herbarium Specimen based on Improved YOLO V3
OGC Citizen Science Interoperability Experiment Engineering Report
Ontology Based Natural Language Queries Transformation into SPARQL Queries
Ontology Modularization with OAPT
Participatory Visualization Design as an Approach to Minimize the Gap between Research and Application
ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks
Results of the Ontology Alignment Evaluation Initiative 2020
ScholarLensViz: A Visualization Framework for Transparency in Semantic User Profiles
Semantics-driven Keyword Search over Knowledge Graphs
Tag Me If You Can! Semantic Annotation of Biodiversity Metadata with the QEMP Corpus and the BiodivTagger
Toward OWL Restriction Reconciliation in Merging Knowledge
Towards a Core Ontology for Hierarchies of Hypotheses in Invasion Biology
Towards Multiple Ontology Merging with CoMerger
Towards Transforming Tabular Datasets into Knowledge Graphs
Understanding Intraspecific Trait Variability Using Digital Herbarium Specimen Images
What to Do When the Users of an Ontology Merging System Want the Impossible? Towards Determining Compatibility of Generic Merge Requirements
ScholarLensViz: A Visualization Framework for Transparency in Semantic User Profiles
Title: | ScholarLensViz: A Visualization Framework for Transparency in Semantic User Profiles |
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Authors: | Felicitas Löffler, Valentin Wesp, Samira Babalou, Philipp Kahn, René Lachmann, Bahar Sateli, René Witte, Birgitta König-Ries |
Source: | ISWC2020 |
Place: | Virtual Conference |
Date: | 2020-11-06 |
Type: | Demo |
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 |
BibTex: |
@InProceedings{ScholarLensViz2020, author = {L\"offler, F. and Wesp, V. and Babalou, S. and Kahn, P. and Lachmann, R. and Sateli, B. and Witte, R. and K\"onig-Ries, B.}, title = {ScholarLensViz: A Visualization Framework for Transparency in Semantic User Profiles}, booktitle = {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).}, year = {2020}, editor = {Taylor, Kerry and Gonçalves, Rafael and Lecue, Freddy and Yan, Jun} } |