Almeida, P.D. and Rocha, J.G. and Ballatore, Andrea and Zipf, A. (2016) Where the streets have known names. In: Gervasi, O. and Murgante, B. and Misra, S. and Rocha, A.M.A.C. and Torre, C.M. and Taniar, D. and Apduhan, B.O. and Stankova, E. and Wang, S. (eds.) Computational Science and Its Applications -- ICCSA 2016. New York, U.S.: Springer, pp. 1-12. ISBN 9783319420882.
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2016-Ballatore-Streets_known_names.pdf - Author's Accepted Manuscript Download (1MB) | Preview |
Abstract
Street names provide important insights into the local culture, history, and politics of places. Linked open data provide a wealth of knowledge that can be associated with street names, enabling novel ways to explore cultural geographies. This paper presents a three-fold contribution. We present (1) a technique to establish a correspondence between street names and the entities that they refer to. The method is based on Wikidata, a knowledge base derived from Wikipedia. The accuracy of this mapping is evaluated on a sample of streets in Rome. As this approach reaches limited coverage, we propose to tap local knowledge with (2) a simple web platform. Users can select the best correspondence from the calculated ones or add another entity not discovered by the automated process. As a result, we design (3) an enriched OpenStreetMap web map where each street name can be explored in terms of the properties of its associated entity. Through several filters, this tool is a first step towards the interactive exploration of toponymy, showing how open data can reveal facets of the cultural texture that pervades places.
Metadata
| Item Type: | Book Section |
|---|---|
| Additional Information: | 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part IV. The final publication is available at Springer via the link above. |
| Keyword(s) / Subject(s): | Digital humanities, Toponymy, OpenStreetMap, Wikidata, Linked open data, Volunteered geographic information |
| School: | Birkbeck Faculties and Schools > Faculty of Humanities and Social Sciences > School of Social Sciences |
| Research Centres and Institutes: | Data Analytics, Birkbeck Institute for |
| Depositing User: | Andrea Ballatore |
| Date Deposited: | 06 Jul 2016 12:19 |
| Last Modified: | 02 Aug 2023 17:25 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/15720 |
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