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Exploration Interface for Jointly Visualised Text and Graph Data

Published: 17 March 2020 Publication History

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-cooccurrence 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.

References

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Mark Coddington. 2015. Clarifying journalism's quantitative turn: A typology for evaluating data journalism, computational journalism, and computer-assisted reporting. Digital Journalism 3, 3 (2015), 331--348.
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Katrin Franke and Sargur N Srihari. 2007. Computational forensics: Towards hybrid-intelligent crime investigation. In IAS. IEEE, New York City, USA, 383--386.
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Mukundan Karthik, Mariappan Marikkannan, and Arputharaj Kannan. 2008. An intelligent system for semantic information retrieval information from textual web documents. In IWCF. Springer-Verlag, Heidelberg, Germany, 135--146.
[5]
Shilad Sen, Anja Beth Swoap, Qisheng Li, Brooke Boatman, Ilse Dippenaar, Rebecca Gold, Monica Ngo, Sarah Pujol, Bret Jackson, and Brent Hecht. 2017. Cartograph: Unlocking spatial visualization through semantic enhancement. In IUI. ACM, Geneva, CH, 179--190.

Cited By

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  • (2021)Robust Visualisation of Dynamic Text CollectionsProceedings of the 2021 Conference on Human Information Interaction and Retrieval10.1145/3406522.3446034(255-259)Online publication date: 14-Mar-2021
  • (2020)Visualising Large Document Collections by Jointly Modeling Text and Network StructureProceedings of the ACM/IEEE Joint Conference on Digital Libraries in 202010.1145/3383583.3398524(279-288)Online publication date: 1-Aug-2020

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  1. Exploration Interface for Jointly Visualised Text and Graph Data
        Index terms have been assigned to the content through auto-classification.

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        cover image ACM Conferences
        IUI '20 Companion: Companion Proceedings of the 25th International Conference on Intelligent User Interfaces
        March 2020
        153 pages
        ISBN:9781450375139
        DOI:10.1145/3379336
        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Published: 17 March 2020

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        • (2021)Robust Visualisation of Dynamic Text CollectionsProceedings of the 2021 Conference on Human Information Interaction and Retrieval10.1145/3406522.3446034(255-259)Online publication date: 14-Mar-2021
        • (2020)Visualising Large Document Collections by Jointly Modeling Text and Network StructureProceedings of the ACM/IEEE Joint Conference on Digital Libraries in 202010.1145/3383583.3398524(279-288)Online publication date: 1-Aug-2020

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