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Claims that need evidence
"Although the cloud of Linked Open Data has been growing continuously for several years" -Learning from Linked Open Data Usage: Patterns & Metrics 2010
The LOD Cloud had 2 billion triples and 3 million interlinks among 34 datasets on March 31, 2008. -Hausenblas 2008
"Since the launch of lingvoj.org in 2007, the linked data cloud has grown at a steady pace, and a growing number of URI sets have been published to identify human languages." -Bernard Vatant
"While the Linked Open Data cloud keeps expanding" -2013 RDF Validation Workshop
"[can] the density of the overall graph be used to make a statement regarding its size?" -Hausenblas 2008
"A large number of SPARQL endpoints are available to access the Linked Open Data cloud" Montoya 2012
"the number of links [out of a dataset] in past work is actually quite small as a percentage of the total set of objects that have been published" -Szekely 2013
"we focused on linking SAAM artists to DBPedia as it provides a gateway to other linked data resources." ... "Via the links to DBPedia, they now have links to the New York Times, which includes obituaries..." -Szekely 2013
"The LOD Dataset is a sparse directed acyclic graph; only a few number of links (compared to the overall number of nodes) exist." -Hausenblas 2008
"Although the inter-FOAF interlinking is high (in average, a single person is linked to 7 over persons), the interlinking between FOAF and other datasets is comparatively low; some 2*10^-3 interlinks per described person have been found [from a FOAF crawl to other datasets]." -Hausenblas 2008
"The proportion of indirect links from a person to another (using foaf:knows and rdfs:seeAlso) is higher than direct links (through a single foaf:knows)." -Hausenblas 2008
"for the single-point-of-access it seems that automatic interlinking yields a high number of semantic links, however of rather shallow quality." -Hausenblas 2008
"not only the number of triples is relevant, but also how the datasets both internally and externally are interlinked." -Hausenblas 2008
"we chose [a particular ontology] because it maximizes compatibility with a large number of existing museum LOD datasets" -Szekely 2013
"The LOD Dataset can roughly be partitioned into two distinct types of datasets, namely (i) single-point-of-access datasets, such as DBpedia or GeoNames, and (ii) distributed datasets (e.g. the FOAF-o-sphere or SIOC-land)" -Hausenblas 2008