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Automatic Reconstruction of Emperor Itineraries from the Regesta Imperii

Published: 08 May 2019 Publication History

Abstract

Historic itinerary research investigates the traveling paths of historic entities, to determine their influence and reach. A potential source of such information are the Regesta Imperii (RI), a large-scale resource for European medieval history research. However, two important intermediate problems must be addressed: 1. place names may be stated as unknown or are left empty; 2., place name queries return large candidate sets of points scattered all across Europe and the correct point must be selected. For 1., we perform a place name completion step to predict place names for regests referencing charters of unknown origin. To address 2., we formulate a graph framework which allows efficient reconstruction of the emperors' itineraries by means of shortest path finding algorithms. Our experiments show that our method predicts coordinates of places with significant correlation to human gold coordinates and significantly outperforms a baseline which selects points randomly from the candidate sets. We further show that the method can be leveraged to detect errors in human coordinate labels of place names.

References

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E. W. Dijkstra. 1959. A Note on Two Problems in Connexion with Graphs. Numer. Math. 1, 1 (Dec. 1959), 269--271. https://doi.org/10.1007/BF01386390
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Michael L Fredman and Robert Endre Tarjan. 1987. Fibonacci heaps and their uses in improved network optimization algorithms. Journal of the ACM (JACM) 34, 3 (1987), 596--615.
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Markus John, Christian Richter, Steffen Koch, Andreas Kuczera, and Thomas Ertl. 2017. Interactive Visual Exploration of the Regesta Imperii. In Digital Humanities 2017 Conference Abstracts.
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Andreas Kuczera. 2015. Graphdatenbanken für Historiker. Netzwerke in den Registern der Regesten Kaiser Friedrichs III. mit neo4j und Gephi. Mittelalter. Interdisziplinäre Forschung und Rezeptionsgeschichte (2015).
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Andreas Kuczera. 2018. Graphentechnologien in den Digitalen Geisteswissenschaften. Modellierung, Import, Exploration (Online-Publikation unter https://kuczera.github.io/Graphentechnologien/). Vol. 1. Andreas Kuczera.
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Juri Opitz, Leo Born, and Vivi Nastase. 2018. Induction of a Large-Scale Knowledge Graph from the Regesta Imperii. In Proceedings of the Second Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature. 159--168.
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Juri Opitz and Anette Frank. 2016. Deriving Players & Themes in the Regesta Imperii using SVMs and Neural Networks. In Proceedings of the 10th SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities. 74--83.
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DATeCH2019: Proceedings of the 3rd International Conference on Digital Access to Textual Cultural Heritage
May 2019
163 pages
ISBN:9781450371940
DOI:10.1145/3322905
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 May 2019

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Author Tags

  1. Historic Itineraries
  2. coordinate prediction
  3. place name prediction

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  • Refereed limited

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  • Leibniz Association

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DATeCH2019

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Overall Acceptance Rate 60 of 86 submissions, 70%

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