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Guidance for Multi-Type Entity Graphs from Text Collections

Müller, Martin ; Ballweg, Kathrin ; Landesberger von Antburg, Tatiana ; Yimam, Seid Muhie ; Fahrer, Uli ; Biemann, Chris ; Rosenbach, Marcel ; Regneri, Michaela ; Ulrich, Heiner (2017)
Guidance for Multi-Type Entity Graphs from Text Collections.
EuroVA 2017 - 8th International EuroVis workshop on Visual Analytics. Barcelona, Spain (June 12.-13., 2017)
doi: 10.2312/eurova.20171111
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

The visual exploration of graphs encoding relationships between entities of multiple types (e.g., persons, locations,...) supports journalists in finding newsworthy information in large text collections. Journalists may have interest in certain entity types or their relations such as locations or person-person relations. This interest may change during the exploration process. The exploration of such large graphs is often supported by guidance using a degree-of-interest (DOI) function. Although many DOIs exist, they do not differentiate entity types, rely on additional data, or require complex settings overburding the journalists. We present a novel DOI for graphs with multiple types of entities. We show the interesting subgraph around the focal node and offer information about possible further steps. The user can interactively set her interest in entity types and entity relations. We apply our approach to a graph extracted from WikiLeaks PlusD Cablegate documents and report on journalists' feedback.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2017
Autor(en): Müller, Martin ; Ballweg, Kathrin ; Landesberger von Antburg, Tatiana ; Yimam, Seid Muhie ; Fahrer, Uli ; Biemann, Chris ; Rosenbach, Marcel ; Regneri, Michaela ; Ulrich, Heiner
Art des Eintrags: Bibliographie
Titel: Guidance for Multi-Type Entity Graphs from Text Collections
Sprache: Englisch
Publikationsjahr: 2017
Veranstaltungstitel: EuroVA 2017 - 8th International EuroVis workshop on Visual Analytics
Veranstaltungsort: Barcelona, Spain
Veranstaltungsdatum: June 12.-13., 2017
DOI: 10.2312/eurova.20171111
Kurzbeschreibung (Abstract):

The visual exploration of graphs encoding relationships between entities of multiple types (e.g., persons, locations,...) supports journalists in finding newsworthy information in large text collections. Journalists may have interest in certain entity types or their relations such as locations or person-person relations. This interest may change during the exploration process. The exploration of such large graphs is often supported by guidance using a degree-of-interest (DOI) function. Although many DOIs exist, they do not differentiate entity types, rely on additional data, or require complex settings overburding the journalists. We present a novel DOI for graphs with multiple types of entities. We show the interesting subgraph around the focal node and offer information about possible further steps. The user can interactively set her interest in entity types and entity relations. We apply our approach to a graph extracted from WikiLeaks PlusD Cablegate documents and report on journalists' feedback.

Freie Schlagworte: Interaction, Visual analytics, Graphs, Digital humanities
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 04 Mai 2020 12:16
Letzte Änderung: 22 Jul 2021 18:31
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