In Assisting in semantic enrichment of scholarly resources by connecting neonion and Wikidata, researcher Jakob Höper supervised by Prof. Dr. Claudia Müller-Birn from Freie Universität Berlin discusses ways of semantically enriching research resources. He suggests that generating semantic annotations in text documents using the scholarly reading and annotation software neonion can enable scholars to semantically enrich their research resources.
In this work, the researcher proposes to improve various aspects of the semantic annotation process by connecting it to the collaboratively edited public knowledge base—Wikidata. Furthermore, he contends that the reuse of external structured knowledge from Wikidata fuels an enhanced workflow for assisted subject-matter-sensitive semantic annotation. In addition to enhancing workflow, external structured knowledge allows the knowledge base to benefit from the structured data generated within “neonion” in return.
The prototype implementation extracts schematic terminological information from Wikidata objects linked by local annotations. In addition, it feeds terminological information into the new recommender system, where candidate descriptors for vocabulary amendment are being determined, most notably by the association rule mining recommender engine Snoopy.
The proposed workflow shows that domain-specific vocabulary customization can be integrated easily into the existing software solutions. This can be done by connecting a large collaborative knowledge base as an external terminological authority. This paper also discusses further improvements to the presented results.
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