Generating linked data in the model of RNPLS&T Single Open Information Archive (SOIA) using GEMET multilingual thesaurus

The practical use of linked data in library projects implies their representation in the RDF format for further use and processing in information systems, and, on the other hand, enrichment of information delivered to the search portal users. In this study, the authors examine the aspects of information enrichment for search outcome. They used GEMET multilingual thesaurus as the basic data set for linking. The RNPLS&T Single Open Information Archive (SOIA) portal has been built based on advanced technologies and trends in using linked data. These trends are also reviewed. Despite plenty of data sets available via the Linked Open Data Cloud, the library projects embracing the linked data technology use just few overlapping data sets. To build the links between UDC codes and subject headings with GEMET concepts, the authors analyzed the entries in the e-catalogs of SOIA and “Ecology: Science and Technology” database. The analysis results demonstrate that approximately 20% entries comprise subject headings and UDC codes that might be linked to GEMET thesaurus concepts. The links between GEMET concepts and Internet-based DBpedia are seen as the most promising option. The authors suggest to supplement these links with the references to Ruwiki (Russian online encyclopedia). These additional links were established for UDC upper levels in the operational database and will be further created for every GEMET active concept.