Modelling Historical Information with Structured Assertion Records

James Baillie; Tara Andrews; Maxim Romanov; Daniel Knox; Maria Vargha

Modelling Historical Information with Structured Assertion Records

James Baillie, Tara Andrews, Maxim Romanov, Daniel Knox, Maria Vargha

Institut für Geschichte

Veröffentlichungen: Beitrag zu Konferenz › Paper › Peer Reviewed

Originalsprache	Englisch
Publikationsstatus	Veröffentlicht - 22 Feb. 2021
Veranstaltung	Data for History 2021: Modelling Time, Space, Agents - Dauer: 19 Mai 2021 → 30 Juni 2021

Konferenz

Konferenz	Data for History 2021
Zeitraum	19/05/21 → 30/06/21

ÖFOS 2012

601012 Mittelalterliche Geschichte
605007 Digital Humanities

RELEVEN: Re-evaluating the Eleventh Century through Linked Events and Entities
Andrews, T.
1/06/21 → 31/05/26
Projekt: Forschungsförderung

Zitationsweisen

@conference{6d7c9959699642149abac5f57c89643e,

title = "Modelling Historical Information with Structured Assertion Records",

author = "James Baillie and Tara Andrews and Maxim Romanov and Daniel Knox and Maria Vargha",

note = "Originally accepted for the conference planned in 2020; presented in 2021 as part of the Data for History Lectures of the HU Berlin https://dhistory.hypotheses.org/289; Data for History 2021 : Modelling Time, Space, Agents ; Conference date: 19-05-2021 Through 30-06-2021",

year = "2021",

month = feb,

day = "22",

language = "English",

}

TY - CONF

T1 - Modelling Historical Information with Structured Assertion Records

AU - Baillie, James

AU - Andrews, Tara

AU - Romanov, Maxim

AU - Knox, Daniel

AU - Vargha, Maria

N1 - Originally accepted for the conference planned in 2020; presented in 2021 as part of the Data for History Lectures of the HU Berlin https://dhistory.hypotheses.org/289

PY - 2021/2/22

Y1 - 2021/2/22

M3 - Paper

T2 - Data for History 2021

Y2 - 19 May 2021 through 30 June 2021

ER -

Modelling Historical Information with Structured Assertion Records

Konferenz

ÖFOS 2012

Projekte

RELEVEN: Re-evaluating the Eleventh Century through Linked Events and Entities

Zitationsweisen