A Philosophical Perspective on Visualization for Digital Humanities
21 October 2018
Hein van den Berg, Arianna Betti, Thom Castermans, Rob Koopman, Bettina Speckmann, Kevin Verbeek, Titia van der Werf, Shenghui Wang, Michel A. Westenberg
CatVis is an interdisciplinary digital humanities project that provides resources for librarians to manage vast bibliographic records as well as visualization tools for philosophical research. This paper describes the challenges encountered during the interdisciplinary research project CatVis.
SolarView: Low Distortion Radial Embeddings with a Focus
13 August 2018
Thom Castermans, Kevin Verbeek, Bettina Speckmann, Michel A. Westenberg, Rob Koopman, Shenghui Wang, Hein van den Berg, Arianna Betti
This research proposes a novel type of low distortion radial embedding that preserves near-exact distances to the focus entity and minimizes distortion between other entities. This data visualization method adapts SolarView to explore high-dimensional metric space of bibliographic entity similarities.
BolVis: Visualization for Text-based Research in Philosophy
30 June 2018
Pauline van Wierst, Steven Hofstede, Yvette Oortwijn, Thom Castermans, Rob Koopman, Shenghui Wang, Michel A. Westenberg, Arianna Betti
BolVis is a visualization tool for text-based research in philosophy. BolVis helps researchers determine quickly which parts of a text corpus are most relevant by performing a semantic similarity search on words, sentences, and passages, enabling in-depth analysis of texts at a significantly greater scale.
Comparison of Topic Extraction Approaches and Their Results
7 March 2017
Theresa Velden, Kevin W. Boyack, Jochen Gläser, Rob Koopman, Andrea Scharnhorst, Shenghui Wang
Contextualization of Topics – Browsing through the Universe of Bibliographic Information
1 March 2017
Rob Koopman, Shenghui Wang, Andrea Scharnhorst
Mutual Information Based Labelling and Comparing Clusters
28 February 2017
Rob Koopman, Shenghui Wang
Bibliometrics and Information Retrieval: Creating Knowledge through Research Synergies
27 December 2016
Judit Bar-Ilan, Marcus John, Rob Koopman, Shenghui Wang, Philipp Mayr, Andrea Scharnhorst, +
Library Linked Data in the Cloud: OCLC's Experiments with New Models of Resource Description
4 April 2015
Carol Jean Godby, Shenghui Wang, Jeffrey K. Mixter
Where Should I Publish? Detecting Journal Similarity Based on What Has Been Published There
12 September 2014
Rob Koopman, Shenghui Wang
Where Should I Publish? Detecting Journal Similarity Based on What Has Been Published There
Rob Koopman and Shenghui Wang. 2014. In Proceedings of Digital Libraries 2014, 483–484. London, United Kingdom: Association for Computing Machinery.