A Linked Data Based Approach to Similarity Reasoning.
Anna Formica, Michele M. Missikoff, Elaheh Pourabbas, Francesco Taglino · 2013
Abstract: SemSim is a semantic similarity reasoning method that has been conceived to be used as a service for the Semantic Web. SemSim is based on a Weighted Reference Ontology, which is used to semantically annotate a collection of digital resources (e.g., documents) to be searched. In this paper we present a new approach to SemSim implementation based on Linked Data, that significantly increments its usability in the Semantic Web.