Assisting in semantic enrichment of scholarly resources by connecting neonion and Wikidata
« Explicit semantic enrichment make digital scholarly publications potentially easy to find, to navigate, to organize and to understand. But whereas the generation of explicit semantic information is common in fields like biomedical research, comparable approaches are rare for domains in the humanities. (…)
In this work, we discuss ways of enabling domain experts to semantically enrich their research resources by generating semantic annotations in text documents using the scholarly reading and annotation software neonion. (…)
Our prototype implementation extracts schematic terminological information from Wikidata objects linked by local annotations and feeds it into the new recommender system, where candidate descriptors for vocabulary amendment are being determined, most notably by the association rule mining recommender engine Snoopy.(…) »
source > refubium.fu-berlin.de,
