We propose an approach for inferring clusters in collections of RDF resources based on the features shared by their descriptions. The approach grounds on an algorithm for computing Common Subsumers in RDF proposed in a previous research work. The clustering service introduced here returns not only a possible partition of resources in a collection, but also a description of the knowledge shared within each cluster, in terms of (generalized) RDF triples.
A deductive approach to the identification and description of clusters in Linked Open Data / Colucci, Simona; Giannini, Silvia; Donini, Francesco M.; DI SCIASCIO, Eugenio. - 263:(2014), pp. 987-988. ( 21st European Conference on Artificial Intelligence, ECAI 2014 Prague, Czech Republic August 18-22, 2014) [10.3233/978-1-61499-419-0-987].
A deductive approach to the identification and description of clusters in Linked Open Data
COLUCCI, Simona;GIANNINI, Silvia;DI SCIASCIO, Eugenio
2014
Abstract
We propose an approach for inferring clusters in collections of RDF resources based on the features shared by their descriptions. The approach grounds on an algorithm for computing Common Subsumers in RDF proposed in a previous research work. The clustering service introduced here returns not only a possible partition of resources in a collection, but also a description of the knowledge shared within each cluster, in terms of (generalized) RDF triples.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
