Slicing linked data by extracting significant, self-describing subsets: the DBpedia case

摘要: The Linked Data cloud is a huge set of data sources, the same objects being instances many different ontologies and described by overlapping concepts properties. This paper shows an innovative approach to represent in unambiguous homogeneous way such large, highly unpredictable, linked ontologies. Instead making use external, static ad-hoc devised knowledge bases, followed this leverages existing ontology univocally identify all Following kind approach, views over can be devised, depending which spot we choose see things through.