Linked Data and information discovery: from data infrastructure to practical applications
by Eero Hyvönen
The vision of the Semantic Wed is to build the global Web of Data (Giant Global Graph, GGG) for machines to use: based on this an interoperable and intelligent transnational WWW for humans can be created cost-efficiently. This lecture addresses this vision on a cross-domain national level, as in practice the data available are often related to each other within national contexts and application domains, and are represented using national languages, metadata models, vocabularies, and local conventions. The lecture introduces first the fundamental ideas of linked data and Semantic Web and presents then lessons learned in Finland on developing and deploying a cross-domain national ontology and Linked (Open) Data (LOD) infrastructure. To test and demonstrate the infrastructure, a series of 16 semantic portals and LOD services in use have been created using a model that has evolved gradually in 2002--2021. They cover a wide range of application domains and have attracted millions of users in total suggesting feasibility of the proposed model. This work shows a shift of focus in research on semantic portals from data aggregation and search/exploration systems to systems supporting research with data analytic tools, and finally to automatic knowledge discovery and Artificial Intelligence..
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