AncestryAI: A Tool for Exploring Computationally Inferred Family Trees

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorMalmi, Ericen_US
dc.contributor.authorRasa, Markoen_US
dc.contributor.authorGionis, Aristidesen_US
dc.contributor.departmentDepartment of Computer Scienceen
dc.contributor.groupauthorAdj. Prof. Gionis Aris groupen
dc.contributor.groupauthorHelsinki Institute for Information Technology (HIIT)en
dc.contributor.organizationVerto Analytics Oyen_US
dc.date.accessioned2018-02-09T09:59:10Z
dc.date.available2018-02-09T09:59:10Z
dc.date.issued2019-01-01en_US
dc.description| openaire: EC/H2020/654024/EU//SoBigData
dc.description.abstractMany 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/.en
dc.description.versionPeer revieweden
dc.format.extent5
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationMalmi, E, Rasa, M & Gionis, A 2019, AncestryAI: A Tool for Exploring Computationally Inferred Family Trees. in 26th International World Wide Web Conference 2017, WWW 2017 Companion. ACM, Switzerland, pp. 257-261, International World Wide Web Conference, Perth, Australia, 03/04/2017. https://doi.org/10.1145/3041021.3054728en
dc.identifier.doi10.1145/3041021.3054728en_US
dc.identifier.isbn978-1-4503-4914-7
dc.identifier.otherPURE UUID: 694d7b99-fb68-4417-bebc-57cf1f04dd52en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/694d7b99-fb68-4417-bebc-57cf1f04dd52en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85060271231&partnerID=8YFLogxK
dc.identifier.otherPURE LINK: https://dl.acm.org/citation.cfm?id=3054728en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/16834136/p257_malmi.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/29856
dc.identifier.urnURN:NBN:fi:aalto-201802091352
dc.language.isoenen
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/654024/EU//SoBigDataen_US
dc.relation.ispartofInternational World Wide Web Conferenceen
dc.relation.ispartofWWW INTERNATIONAL CONFERENCE ON WORLD WIDE WEBfin
dc.relation.ispartofseries26th International World Wide Web Conference 2017, WWW 2017 Companionen
dc.relation.ispartofseriespp. 257-261en
dc.rightsopenAccessen
dc.subject.keywordfamily treesen_US
dc.subject.keywordgenealogyen_US
dc.subject.keywordgraph drawingen_US
dc.subject.keywordprobabilistic modelingen_US
dc.subject.keywordrecord linkageen_US
dc.titleAncestryAI: A Tool for Exploring Computationally Inferred Family Treesen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.versionpublishedVersion

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