Data finland: a semantic portal for open and linked datasets

  • Authors:

  • Matias Frosterus;Eero Hyvönen;Joonas Laitio

  • Affiliations:

  • Semantic Computing Research Group, Aalto University and University of Helsinki;Semantic Computing Research Group, Aalto University and University of Helsinki;Semantic Computing Research Group, Aalto University and University of Helsinki

  • Venue:
  • ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
  • Year:
  • 2011

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Abstract

The number of open datasets available on the web is increasing rapidly with the rise of the Linked Open Data (LOD) cloud and various governmental efforts for releasing public data in different formats, not only in RDF. The aim in releasing open datasets is for developers to use them in innovative applications, but the datasets need to be found first and metadata available is often minimal, heterogeneous, and distributed making the search for the right dataset often problematic. To address the problem, we present DataFinland, a semantic portal featuring a distributed content creation model and tools for annotating and publishing metadata about LOD and non-RDF datasets on the web. The metadata schema for DataFinland is based on a modified version of the voiD vocabulary for describing linked RDF datasets, and annotations are done using an online metadata editor SAHA connected to ONKI ontology services providing a controlled set of annotation concepts. The content is published instantly on an integrated faceted search and browsing engine HAKO for human users, and as a SPARQL endpoint and a source file for machines. As a proof of concept, the system has been applied to LOD and Finnish governmental datasets.