GeneaQuilts: A System for Exploring Large Genealogies

Anastasia Bezerianos 1 Pierre Dragicevic 2 Jean-Daniel Fekete 2 Juhee Bae 3 Ben Watson 3
1 MAS - Mathématiques Appliquées aux Systèmes - EA 4037
2 AVIZ - Analysis and Visualization
Inria Saclay - Ile de France
3 NCSU - Department of Computer Science
Abstract : GeneaQuilts is a new visualization technique for representing large genealogies of up to several thousand individuals. The visualization takes the form of a diagonally-filled matrix, where rows are individuals and columns are nuclear families. After identifying the major tasks performed in genealogical research and the limits of current software, we present an interactive genealogy exploration system based on GeneaQuilts. The system includes an overview, a timeline, search and filtering components, and a new interaction technique called Bring & Slide that allows fluid navigation in very large genealogies. We report on preliminary feedback from domain experts and show how our system supports a number of their tasks.
Keywords : Genealogy visualization interaction
Document type :
Journal articles
Complete list of metadatas

Cited literature [33 references]  Display  Hide  Download
https://hal.inria.fr/inria-00532939
Contributor : Jean-Daniel Fekete <>
Submitted on : Thursday, November 4, 2010 - 5:29:52 PM
Last modification on : Wednesday, August 21, 2019 - 10:38:02 AM
Long-term archiving on: Friday, October 26, 2012 - 2:56:00 PM

File

geneaquilt.pdf
Publisher files allowed on an open archive

Identifiers

Collections

EC-PARIS | INRIA | ECP-DR | MAS | MICS

Citation

Anastasia Bezerianos, Pierre Dragicevic, Jean-Daniel Fekete, Juhee Bae, Ben Watson. GeneaQuilts: A System for Exploring Large Genealogies. IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2010, 16 (6), pp.1073-1081. ⟨10.1109/TVCG.2010.159⟩. ⟨inria-00532939⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

632

Files downloads

2840

 

 

Contact

archive-ouverte@inria.fr