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- 102 creator javier-d-fernandez.
- 102 creator mario-arias-gallego.
- 102 creator miguel-a-martinez-prieto.
- 102 type InProceedings.
- 102 label "Exchange and Consumption of Huge RDF Data".
- 102 sameAs 102.
- 102 abstract "Huge RDF datasets are currently exchanged on textual RDF formats, hence consumers need to post-process them through RDF stores for local consumption, such as reasoning/integration and SPARQL query. This results in a painful task which requires a great effort in terms of time and computational resources. A first approach to lightweight data exchange is a compact (binary) RDF serialization format called HDT. In this paper, we focus on enhancing the exchanged data in order to optimize the consumption without the need of "unpacking" the data. This is done by post-processing the HDT, enhancing the data with additional structures which allow basic forms of SPARQL queries. Experiments show that i) with an exchanging efficiency that outperforms universal compression, ii) post-processing now becomes a fast process which iii) provides competitive query performance at consumption.".
- 102 hasAuthorList authorList.
- 102 isPartOf proceedings.
- 102 keyword "RDF consumption".
- 102 keyword "RDF exchange".
- 102 keyword "RDF store".
- 102 keyword "SPARQL".
- 102 title "Exchange and Consumption of Huge RDF Data".