Esko Ikkala
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.
- Ante Aikio. 2007. The Study of Saami Substrate Toponyms in Finland. In Etymologie, Entlehnungen und Entwicklungen. Festschrift für Jorma Koivulehto zum 70. Geburtstag, Irma Hyvärinen, Petri Kallio, and Jarmo Korhonen (Eds.). Uusiflologinen yhdistys ry., Helsinki, Finland, 5--34.Google Scholar
- Terhi Ainiala, Minna Saarelma, and Paula Sjöblom. 2012. Names in Focus: An Introduction to Finnish Onomastics. Finnish Literature Society, Helsinki, Finland.Google Scholar
- Merrick Lex Berman, Ruth Mostern, and Humphrey Southall (Eds.). 2016. Placing names. Enriching and integrating gazetteers. Indiana University Press.Google Scholar
- Eileen Gardiner and Ronald G. Musto. 2015. The Digital Humanities: A Primer for Students and Scholars. Cambridge University Press. Google ScholarDigital Library
- Tom Heath and Christian Bizer. 2011. Linked Data: Evolving the Web into a Global Data Space (1st edition). Morgan & Claypool. Google ScholarDigital Library
- Carole Hough. 2016. Introduction. In The Oxford Handbook of Names and Naming, Carole Hough (Ed.). Oxford University Press, Oxford, 1--13.Google Scholar
- Eero Hyvönen, Esko Ikkala, and Jouni Tuominen. 2016. Linked Data Brokering Service for Historical Places and Maps. In Proceedings of the 1st Workshop on Humanities in the Semantic Web (WHiSe). CEUR Workshop Proceedings, 39--52. Vol 1608.Google Scholar
- Eero Hyvönen, Jouni Tuominen, Miika Alonen, and Eetu Mäkelä. 2014. Linked Data Finland: A 7-star Model and Platform for Publishing and Re-using Linked Datasets. In Proceedings of ESWC 2014 Demo and Poster Papers. Springer-Verlag.Google ScholarDigital Library
- Eero Kiviniemi. 1971. Suomen Partisiippinimistöä: Ensimmäisen Partisiipin Sisältävät Henkilön- Ja Paikannimet. Ph.D. Dissertation. Finnish Literature Society, Helsinki, Finland.Google Scholar
- Eero Kiviniemi. 1975. Paikannimien rakennetyypeistä. Finnish Literature Society, Helsinki, Finland.Google Scholar
- Eero Kiviniemi. 1990. Perustietoa paikannimistä. Finnish Literature Society, Helsinki, Finland.Google Scholar
- Antti Leino.2007. On toponymic constructions: As an alternative to naming patterns in describing Finnish lake names. Ph.D. Dissertation. Finnish Literature Society, Helsinki, Finland.Google Scholar
- Armas Luukko. 1967. Suomen historia 1617--1721. WSOY, Porvoo, Finland.Google Scholar
- Viljo Nissilä. 1939. Vuoksen paikannimistö: 1. Ph.D. Dissertation. Finnish Literature Society, Helsinki, Finland.Google Scholar
- Simon Taylor. 2016. Methodologies in Place-name Research. In The Oxford Handbook of Names and Naming, Carole Hough (Ed.). Oxford University Press, Oxford, 69--86.Google Scholar
- Jouko Vahtola. 1980. Tornionjoki-ja Kemijokilaakson asutuksen synty: nimistötieteellinen ja historiallinen tutkimus. Ph.D. Dissertation. Pohjois-Suomen historiallinen yhdistys, Rovaniemi, Finland.Google Scholar
- Kurt Zilliacus. 1966. Ortnamnen i Houtskär. The Society of Swedish Literature in Finland, Helsinki.Google Scholar
Index Terms
- NameSampo: A Linked Open Data Infrastructure and Workbench for Toponomastic Research
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