Ralf Krestel

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IUI 20

Exploration Interface for Jointly Visualised Text and Graph Data

Abstract

Many large text collections exhibit graph structures, either inherent to the content itself or encoded in the metadata of the individual documents. Example graphs extracted from document collections are co-author networks, citation networks, or named-entity-co-occurrence networks. Furthermore, social networks can be extracted from email corpora, tweets, or social media. When it comes to visualising these large corpora, traditionally either the textual content or the network graph are used. We propose to incorporate both, text and graph, to not only visualise the semantic information encoded in the documents’ content but also the relationships expressed by the inherent network structure in a two-dimensional landscape. We illustrate the effectiveness of our approach with an exploration interface for different real world datasets.

Demo Paper

IUI20.pdf

Conference Homepage

IUI-20

BibTex Entry

@inproceedings{krestel-iui20, author = {Repke, Tim and Krestel, Ralf}, booktitle = {Proceedings of the 25th International Conference on Intelligent User Interfaces}, month = {March 17--20} pages = {1--2}, publisher = {ACM}, title = {Exploration Interface for Jointly Visualised Text and Graph Data}, location = {Cagliari, Italy}, year = {2020} }