The webgraph framework I: compression techniques
Proceedings of the 13th international conference on World Wide Web
Characterizing the semantic web on the web
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Compact representation of large RDF data sets for publishing and exchange
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Binary RDF for scalable publishing, exchanging and consumption in the web of data
Proceedings of the 21st international conference companion on World Wide Web
An empirical survey of Linked Data conformance
Web Semantics: Science, Services and Agents on the World Wide Web
Scalable RDF data compression with MapReduce
Concurrency and Computation: Practice & Experience
Binary RDF representation for publication and exchange (HDT)
Web Semantics: Science, Services and Agents on the World Wide Web
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This paper studies the compressibility of RDF data sets. We show that big RDF data sets are highly compressible due to the structure of RDF graphs (power law), organization of URIs and RDF syntax verbosity. We present basic approaches to compress RDF data and test them with three well-known, real-world RDF data sets.