Finnish National Ontologies for the Semantic Web -- Towards a Content and Service Infrastructure
, Short Papers

Finnish National Ontologies for the Semantic Web -- Towards a Content and Service Infrastructure

Short Papers
Published 2005-09-12
Eero Hyvönen
Helsinki University of Technology and University of Helsinki
Arttu Valo
Helsinki University of Technology and University of Helsinki Laboratory of Media Technology
Ville Komulainen
Helsinki University of Technology and University of Helsinki Laboratory of Media Technology
Katri Seppälä
Helsinki University of Technology and University of Helsinki Laboratory of Media Technology
Tomi Kauppinen
Helsinki University of Technology and University of Helsinki Laboratory of Media Technology
Tuukka Ruotsalo
Helsinki University of Technology and University of Helsinki Laboratory of Media Technology
Mirva Salminen
Helsinki University of Technology and University of Helsinki Laboratory of Media Technology
Anu Ylisalmi
Helsinki University of Technology and University of Helsinki Laboratory of Media Technology
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How to Cite

Hyvönen, E., Valo, A., Komulainen, V., Seppälä, K., Kauppinen, T., Ruotsalo, T., Salminen, M., & Ylisalmi, A. (2005). Finnish National Ontologies for the Semantic Web -- Towards a Content and Service Infrastructure. International Conference on Dublin Core and Metadata Applications, pp. 219–222. Retrieved from https://dcpapers-past.dublincore.org/pubs/article/view/827
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Abstract

We present a national ontology development and service framework being developed in Finland in 2003-2007. The framework is based on a set of related core ontologies, most notably on a national upper ontology based on the commonly used Finnish General Thesaurus YSA maintained by the National Library of Finland. The framework implements three ontology services by a web-based system ONKI. Firstly, ONKI supports distributed collaborative development and versioning of interdependent ontologies. Secondly, external cataloging and indexing systems can use ONKI as a web service for ontology-based annotations. Thirdly, information retrieval systems can use ONKI for disambiguating keyword meanings for conceptbased search on the Semantic Web.
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