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- 32 creator javier-d-fernandez.
- 32 creator jose-m-gimenez-garcia.
- 32 creator miguel-a-martinez-prieto.
- 32 type InProceedings.
- 32 label "HDT-MR: A Scalable Solution for RDF Compression with HDT and MapReduce".
- 32 sameAs 32.
- 32 abstract "HDT a is binary RDF serialization aiming at minimizing the space overheads of traditional RDF formats, while providing retrieval features in compressed space. Several HDT-based applications, such as the recent Linked Data Fragments proposal, leverage these features for diverse publication, interchange and consumption purposes. However, scalability issues emerge in HDT construction because the whole RDF dataset must be processed in a memory-consuming task. This is hindering the evolution of novel applications and techniques at Web scale. This paper introduces HDT-MR, a MapReduce-based technique to process huge RDF and build the HDT serialization. HDT-MR performs in linear time with the dataset size and has proven able to serialize datasets up to 4.42 billion triples, preserving HDT compression and retrieval features. These results enable a new generation of HDT-based applications.".
- 32 hasAuthorList authorList.
- 32 isPartOf proceedings.
- 32 keyword "Big Semantic Data".
- 32 keyword "HDT".
- 32 keyword "MapReduce".
- 32 keyword "RDF compression".
- 32 keyword "Scalability".
- 32 title "HDT-MR: A Scalable Solution for RDF Compression with HDT and MapReduce".