A Linked Data Based Approach to Similarity Reasoning

Contributo in Atti di convegno
Data di Pubblicazione:
2014
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.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Similarity Reasoning; Linked Data; Weighted Reference Ontology; Information content; Digital Resources
Elenco autori:
Autori di Ateneo:
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/306758
Titolo del libro:
Short Paper Proceedings of the Second Workshop on New Generation Enterprise and Business Innovation Systems