An Interdisciplinary Perspective on Evaluation and Experimental Design for Visual Text Analytics: Position Paper

no code implementations • 23 Sep 2022 • Kostiantyn Kucher, Nicole Sultanum, Angel Daza, Vasiliki Simaki, Maria Skeppstedt, Barbara Plank, Jean-Daniel Fekete, Narges Mahyar

We identify four key groups of challenges for evaluating visual text analytics approaches (data ambiguity, experimental design, user trust, and "big picture" concerns) and provide suggestions for research opportunities from an interdisciplinary perspective.

Experimental Design Position

Characterizing Uncertainty in the Visual Text Analysis Pipeline

no code implementations • 22 Sep 2022 • Pantea Haghighatkhah, Mennatallah El-Assady, Jean-Daniel Fekete, Narges Mahyar, Carita Paradis, Vasiliki Simaki, Bettina Speckmann

Current visual text analysis approaches rely on sophisticated processing pipelines.

The Missing Path: Analysing Incompleteness in Knowledge Graphs

no code implementations • 16 May 2020 • Marie Destandau, Jean-Daniel Fekete

We present a new visualisation tool: The Missing Path, to support them in identifying coherent subsets of entities that can be repaired.

Knowledge Graphs Human-Computer Interaction

Progressive Data Science: Potential and Challenges

no code implementations • 19 Dec 2018 • Cagatay Turkay, Nicola Pezzotti, Carsten Binnig, Hendrik Strobelt, Barbara Hammer, Daniel A. Keim, Jean-Daniel Fekete, Themis Palpanas, Yunhai Wang, Florin Rusu

We discuss these challenges and outline first steps towards progressiveness, which, we argue, will ultimately help to significantly speed-up the overall data science process.