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 (12.06.2017-13.06.2017)
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: | 12.06.2017-13.06.2017 |
| 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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