AncestryAI: A Tool for Exploring Computationally Inferred Family Trees

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

1 Sitaatiot (Scopus)
141 Lataukset (Pure)

Abstrakti

Many people are excited to discover their ancestors and thus decide to take up genealogy. However, the process of finding the ancestors is often very laborious since it involves comparing a large number of historical birth records and trying to manually match the people mentioned in them. We have developed AncestryAI, an open-source tool for automatically linking historical records and exploring the resulting family trees. We introduce a record-linkage method for computing the probabilities of the candidate matches, which allows the users to either directly identify the next ancestor or narrow down the search. We also propose an efficient layout algorithm for drawing and navigating genealogical graphs. The tool is additionally used to crowdsource training and evaluation data so as to improve the matching algorithm. Our objective is to build a large genealogical graph, which could be used to resolve various interesting questions in the areas of computational social science, genetics, and evolutionary studies. The tool is openly available at: http://emalmi.kapsi.fi/ancestryai/.
AlkuperäiskieliEnglanti
OtsikkoProceedings of the 26th International Conference on World Wide Web Companion
JulkaisupaikkaSwitzerland
Sivut257-261
Sivumäärä5
DOI - pysyväislinkit
TilaJulkaistu - 1 tammikuuta 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaWWW INTERNATIONAL CONFERENCE ON WORLD WIDE WEB - Perth, Austraalia
Kesto: 3 huhtikuuta 20177 huhtikuuta 2017
Konferenssinumero: 26

Conference

ConferenceWWW INTERNATIONAL CONFERENCE ON WORLD WIDE WEB
LyhennettäWWW
MaaAustraalia
KaupunkiPerth
Ajanjakso03/04/201707/04/2017

Sormenjälki Sukella tutkimusaiheisiin 'AncestryAI: A Tool for Exploring Computationally Inferred Family Trees'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.

  • Laitteet

    Science-IT

    Mikko Hakala (Manager)

    Perustieteiden korkeakoulu

    Laitteistot/tilat: Facility

  • Siteeraa tätä

    Malmi, E., Rasa, M., & Gionis, A. (2019). AncestryAI: A Tool for Exploring Computationally Inferred Family Trees. teoksessa Proceedings of the 26th International Conference on World Wide Web Companion (Sivut 257-261). https://doi.org/10.1145/3041021.3054728