TY - GEN
T1 - FamSearch
T2 - 16th International Symposium on Advances in Visual Computing, ISVC 2021
AU - Wallner, Günter
AU - van de Wetering, Huub
AU - Tufail, Shahrukh
AU - Zandt-Sloot, Linda
AU - Gladkis, Stasius
AU - Hong, Minji
AU - Lepelaars, Carlo
A2 - Burch, Michael
A2 - Bebis, George
A2 - Athitsos, Vassilis
A2 - Yan, Tong
A2 - Lau, Manfred
A2 - Li, Frederick
A2 - Shi, Conglei
A2 - Yuan, Xiaoru
A2 - Mousas, Christos
A2 - Bruder, Gerd
PY - 2022/1/1
Y1 - 2022/1/1
N2 - This paper describes an interactive visualization tool consisting of several views offering different perspectives on genealogical data that is stored and maintained by the Brabants Historical Information Center (BHIC). The dataset consists of several attributes, static as well as dynamic ones, containing information about several million people having lived in the Netherlands. With the tool, we can gain insights in family histories and build, confirm, and reject hypotheses, or search for one’s own relatives having lived in that region. Genealogical, temporal, and geographical relations can be investigated and linked to each other to identify correlations. Moreover, family events such as marriages, divorces, births, deaths, and similar can be explored. To support these tasks the tool provides several algorithms and interactive visualizations that enable data exploration. Visualizations include, amongst others, timeline diagrams, pedigree trees, population pyramids, sunbursts, and word clouds. We illustrate the usefulness of the tool by showcasing which and how patterns and anomalies can be found.
AB - This paper describes an interactive visualization tool consisting of several views offering different perspectives on genealogical data that is stored and maintained by the Brabants Historical Information Center (BHIC). The dataset consists of several attributes, static as well as dynamic ones, containing information about several million people having lived in the Netherlands. With the tool, we can gain insights in family histories and build, confirm, and reject hypotheses, or search for one’s own relatives having lived in that region. Genealogical, temporal, and geographical relations can be investigated and linked to each other to identify correlations. Moreover, family events such as marriages, divorces, births, deaths, and similar can be explored. To support these tasks the tool provides several algorithms and interactive visualizations that enable data exploration. Visualizations include, amongst others, timeline diagrams, pedigree trees, population pyramids, sunbursts, and word clouds. We illustrate the usefulness of the tool by showcasing which and how patterns and anomalies can be found.
KW - Diagrammatic representations
KW - Genealogical data
KW - Information visualization
KW - Interactions
UR - https://www.scopus.com/pages/publications/85121929299
U2 - 10.1007/978-3-030-90436-4_30
DO - 10.1007/978-3-030-90436-4_30
M3 - Conference contribution
SN - 978-3-030-90435-7
VL - II
T3 - Lecture Notes in Computer Science (LNCS)
SP - 374
EP - 385
BT - Advances in Visual Computing
PB - Springer
CY - Cham
Y2 - 4 October 2021 through 6 October 2021
ER -