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An automated approach for geocoding tabular itineraries

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An automated approach for geocoding tabular itineraries. / Santos, Rui; Murrieta-Flores, Patricia; Martins, Bruno.
GIR'17 Proceedings of the 11th Workshop on Geographic Information Retrieval. New York: Association for Computing Machinery, Inc, 2017. 8.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Santos, R, Murrieta-Flores, P & Martins, B 2017, An automated approach for geocoding tabular itineraries. in GIR'17 Proceedings of the 11th Workshop on Geographic Information Retrieval., 8, Association for Computing Machinery, Inc, New York, 11th Workshop on Geographic Information Retrieval, GIR 2017, Heidelberg, Germany, 30/11/17. https://doi.org/10.1145/3155902.3155908

APA

Santos, R., Murrieta-Flores, P., & Martins, B. (2017). An automated approach for geocoding tabular itineraries. In GIR'17 Proceedings of the 11th Workshop on Geographic Information Retrieval Article 8 Association for Computing Machinery, Inc. https://doi.org/10.1145/3155902.3155908

Vancouver

Santos R, Murrieta-Flores P, Martins B. An automated approach for geocoding tabular itineraries. In GIR'17 Proceedings of the 11th Workshop on Geographic Information Retrieval. New York: Association for Computing Machinery, Inc. 2017. 8 doi: 10.1145/3155902.3155908

Author

Santos, Rui ; Murrieta-Flores, Patricia ; Martins, Bruno. / An automated approach for geocoding tabular itineraries. GIR'17 Proceedings of the 11th Workshop on Geographic Information Retrieval. New York : Association for Computing Machinery, Inc, 2017.

Bibtex

@inproceedings{fc4199c8cd974d8fb816c0a60cf76a12,
title = "An automated approach for geocoding tabular itineraries",
abstract = "Historical itineraries, often accessible as lists or tables describing places visited in sequence, are abundant resources and also important objects of study for humanities scholars. This article advances a novel method for automatically geocoding tabular itineraries, combining approximate string matching with a cost optimization algorithm based on dynamic programming. Experiments with a dataset of historical itineraries, with ground-truth geocoding annotations provided by domain experts and leveraging also the GeoNames gazetteer, attest to the effectiveness of the proposed method. The obtained results show that while approximate string matching can already achieve very low median errors, with many toponyms matching exactly against GeoNames entries, the combination with cost optimization can significantly improve results in terms of the average distance towards the correct disambiguations.",
keywords = "Automated geocoding, Digital humanities, Dynamic programming, Geographic information retrieval, Toponym matching",
author = "Rui Santos and Patricia Murrieta-Flores and Bruno Martins",
year = "2017",
month = nov,
day = "30",
doi = "10.1145/3155902.3155908",
language = "English",
booktitle = "GIR'17 Proceedings of the 11th Workshop on Geographic Information Retrieval",
publisher = "Association for Computing Machinery, Inc",
note = "11th Workshop on Geographic Information Retrieval, GIR 2017 ; Conference date: 30-11-2017 Through 01-12-2017",

}

RIS

TY - GEN

T1 - An automated approach for geocoding tabular itineraries

AU - Santos, Rui

AU - Murrieta-Flores, Patricia

AU - Martins, Bruno

PY - 2017/11/30

Y1 - 2017/11/30

N2 - Historical itineraries, often accessible as lists or tables describing places visited in sequence, are abundant resources and also important objects of study for humanities scholars. This article advances a novel method for automatically geocoding tabular itineraries, combining approximate string matching with a cost optimization algorithm based on dynamic programming. Experiments with a dataset of historical itineraries, with ground-truth geocoding annotations provided by domain experts and leveraging also the GeoNames gazetteer, attest to the effectiveness of the proposed method. The obtained results show that while approximate string matching can already achieve very low median errors, with many toponyms matching exactly against GeoNames entries, the combination with cost optimization can significantly improve results in terms of the average distance towards the correct disambiguations.

AB - Historical itineraries, often accessible as lists or tables describing places visited in sequence, are abundant resources and also important objects of study for humanities scholars. This article advances a novel method for automatically geocoding tabular itineraries, combining approximate string matching with a cost optimization algorithm based on dynamic programming. Experiments with a dataset of historical itineraries, with ground-truth geocoding annotations provided by domain experts and leveraging also the GeoNames gazetteer, attest to the effectiveness of the proposed method. The obtained results show that while approximate string matching can already achieve very low median errors, with many toponyms matching exactly against GeoNames entries, the combination with cost optimization can significantly improve results in terms of the average distance towards the correct disambiguations.

KW - Automated geocoding

KW - Digital humanities

KW - Dynamic programming

KW - Geographic information retrieval

KW - Toponym matching

U2 - 10.1145/3155902.3155908

DO - 10.1145/3155902.3155908

M3 - Conference contribution/Paper

BT - GIR'17 Proceedings of the 11th Workshop on Geographic Information Retrieval

PB - Association for Computing Machinery, Inc

CY - New York

T2 - 11th Workshop on Geographic Information Retrieval, GIR 2017

Y2 - 30 November 2017 through 1 December 2017

ER -