We present two knowledge-rich methods for ranking entities in a semantic network. Our approach relies on the DBpedia knowledge base for acquiring fine-grained information about entities and their semantic relations. Experiments on a benchmarking dataset show the viability of our approach.
Dieser Eintrag ist Teil der Universitätsbibliographie.
Suche Autoren in
