AncestryAI: A Tool for Exploring Computationally Inferred Family Trees

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Researchers

Research units

  • Verto Analytics

Abstract

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/.

Details

Original languageEnglish
Title of host publicationProceedings of the 26th International Conference on World Wide Web Companion
Publication statusPublished - 1 Jan 2019
MoE publication typeA4 Article in a conference publication
EventInternational World Wide Web Conference - Perth, Australia
Duration: 3 Apr 20177 Apr 2017
Conference number: 26

Conference

ConferenceInternational World Wide Web Conference
Abbreviated titleWWW
CountryAustralia
CityPerth
Period03/04/201707/04/2017

    Research areas

  • family trees, genealogy, graph drawing, probabilistic modeling, record linkage

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