Title: Visualization Design for a Web Interface to the Large-Scale Linked Lexical Resource UBY
Authors: Judith Eckle-Kohler, Daniela Oelke and Iryna Gurevych
Affiliation:
Ubiquitous Knowledge Processing Lab (UKP-TUDA), Department of Computer Science, Technische Universität Darmstadt
Ubiquitous Knowledge Processing Lab (UKP-DIPF), German Institute for Educational Research
https://www.ukp.tu-darmstadt.de/
Link: https://www.ukp.tu-darmstadt.de/data/lexical-resources/uby/uby-visual-browser/
We present the results of a collaboration of visualization experts and computational linguists which aimed at the redesign of the visualization component in the Web user interface (Web UI) to the large-scale linked lexical resource UBY (https://www.ukp.tu-darmstadt.de/uby). UBY contains expert-constructed (e.g., WordNet, FrameNet, VerbNet) and collaboratively constructed (e.g., Wiktionary, Wikipedia) resources for English and German. All resources contained in UBY distinguish not only different words but also their senses. A distinguishing feature of UBY is that the different resources are aligned to each other at the word sense level, i.e. there are links connecting equivalent word senses from different resources. In the context of exploring the usually large number of senses for an arbitrary search word, the UBY Web UI should support the user in assessing the added value of sense links for particular Natural Language Processing applications. It is important to emphasize that this is an open research question for most applications. We will present the results of our detailed requirements analysis that revealed a number of central requirements a visualization of all the senses for a given search word and the links between them must meet in order to be useful for the targeted user groups of the UBY Web UI - researchers in the field of Natural Language Processing and in the Digital Humanities. Then, we will introduce the revised visualization component, which is the result of an iterative and highly collaborative process. Finally, we will summarize the lessons learned in this interdisciplinary collaboration between visualization experts and computational linguists.