NameSampo: A Linked Open Data Infrastructure and Workbench for Toponomastic Research

Esko Ikkala, Jouni Tuominen, Jaakko Raunamaa, Tiina Aalto, Terhi Ainiala, Helinä Uusitalo, Eero Hyvönen

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

This paper presents a series of projects where one of the main sources for toponomastic research in Finland, the corpora of 2.7 million place names in the Names Archive database of the Institute for the Languages of Finland, was digitized, enriched, and published as Linked Open Data using a data processing pipeline. Utilizing the Linked Data infrastructure and various external data sources, a modern full-stack web application, NameSampo, was created in collaboration between toponomastic researchers and computer scientists for searching, analyzing, and visualizing digital toponomastic data sources.
Original languageEnglish
Title of host publicationProceedings of the 2nd ACM SIGSPATIAL Workshop on Geospatial Humanities, GeoHumanities 2018
EditorsPatricia Murrieta, Bruno Martins
Number of pages9
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Publication date2018
Pages1-9
Article number2
ISBN (Electronic)978-1-4503-6032-6
DOIs
Publication statusPublished - 2018
MoE publication typeA4 Article in conference proceedings
EventACM SIGSPATIAL Workshop on Geospatial Humanities - Seattle, United States
Duration: 6 Nov 20186 Nov 2018
Conference number: 2nd

Fields of Science

  • 113 Computer and information sciences
  • 6121 Languages

Projects

Nimisampo. Nimistöntutkijan työpöytä

Ainiala, T. & Hyvönen, E.

01/01/201801/02/2019

Project: Other project

Cite this

Ikkala, E., Tuominen, J., Raunamaa, J., Aalto, T., Ainiala, T., Uusitalo, H., & Hyvönen, E. (2018). NameSampo: A Linked Open Data Infrastructure and Workbench for Toponomastic Research. In P. Murrieta, & B. Martins (Eds.), Proceedings of the 2nd ACM SIGSPATIAL Workshop on Geospatial Humanities, GeoHumanities 2018 (pp. 1-9). [2] Association for Computing Machinery (ACM). https://doi.org/10.1145/3282933.3282936