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- 32 creator javier-d-fernandez.
- 32 type InProceedings.
- 32 label "Binary RDF for Scalable Publishing, Exchanging and Consumption in the Web of Data".
- 32 sameAs 32.
- 32 abstract "The Web of Data is producing increasingly large RDF datasets from diverse fields of knowledge, pushing the Web to a data-to-data cloud. However, traditional RDF representations were inspired by a document-centric view, which results in verbose/redundant data, costly to exchange and post-process. This article discusses an ongoing doctoral thesis facing efficient formats for publication, exchange and consumption of RDF at large scale. First, we propose a binary serialization format for RDF, called HDT. It partitions and efficiently represents three components of RDF data: Header, Dictionary and Triples. Then, we focus on dictionary and triples efficient structures, as long as they take part of HDT representation as well as most applications performing on huge RDF datasets. We propose novel techniques leading to compressed rich-functional RDF dictionaries and triples indexes.".
- 32 hasAuthorList authorList.
- 32 isPartOf proceedings.
- 32 isPartOf proceedings.
- 32 keyword "Binary RDF".
- 32 keyword "Compression".
- 32 keyword "Indexing".
- 32 keyword "Web of Data".
- 32 title "Binary RDF for Scalable Publishing, Exchanging and Consumption in the Web of Data".