Toward Visual Interactive Exploration of Heterogeneous Graphs - Archive ouverte HAL Access content directly
Conference Papers Year :

Toward Visual Interactive Exploration of Heterogeneous Graphs

(1, 2) , (2) , (3) , (4)
1
2
3
4
Ioana Manolescu
Emmanuel Pietriga
Fabian M Suchanek

Abstract

An interesting class of heterogeneous datasets, encountered for instance in data journalism applications, results from the inter-connection of data sources of different data models, ranging from very structured (e.g., relational or graphs) to semistructured (e.g., JSON, HTML, XML) to completely unstructured (text). Such heterogeneous graphs can be exploited e.g., by keyword search, to uncover connection between search keywords [1]. In this paper, we present a vision toward making such graphs easily comprehensible by human users, such as journalists seeking to understand and explore them. Our proposal is twofold: (i) abstracting the graph by recognizing structured entities; this simplifies the graph without information loss; (ii) relying on data visualization techniques to help users grasp the graph contents. Our work in this area continues; we present preliminary encouraging results.
Fichier principal
Vignette du fichier
SEAData3.pdf (628.23 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02468778 , version 1 (06-02-2020)

Identifiers

  • HAL Id : hal-02468778 , version 1

Cite

Irène Burger, Ioana Manolescu, Emmanuel Pietriga, Fabian M Suchanek. Toward Visual Interactive Exploration of Heterogeneous Graphs. SEAdata 2020 - Workshop on Searching, Exploring and Analyzing Heterogeneous Data in conjunction with EDBT/ICDT, Mar 2020, Copenhagen, Denmark. ⟨hal-02468778⟩
292 View
487 Download

Share

Gmail Facebook Twitter LinkedIn More