This paper is a result of a task that was presented to attendants of Keyword Search in Big Linked Data summer school, that was organized by Vienna University of Technology, under the Keystone COST action in the summer of 2017. It presents a specific approach to the classification via creation of minimal document surrogates based on the US National medical library’s MeSH ontology, which is derived from the Medical Subject Headings thesaurus. In a series of previously classified medically ...
... concept mesh2016:D049916.
PREFIX mesh2016:
SELECT DISTINCT ?predikat ?objekat
FROM
WHERE mesh2016:D049916 ?predikat ?objekat
ORDER BY ?class
Figure 3. SPARQL query used to provide taxonomy of all concepts and MeSH
2016 ontologies ...
Mihailo Škorić, Mauro Dragoni. "Medical Domain Document Classification via Extraction of Taxonomy Concepts from MeSH Ontology" in Infotheca, Faculty of Philology, University of Belgrade (2019). https://doi.org/10.18485/infotheca.2019.19.1.3