Abstract
The Web of Data is producing large RDF datasets from diverse fields. The increasing size of the data being published threatens to make these datasets hardly to exchange, index and consume. This scalability problem greatly diminishes the potential of interconnected RDF graphs. The HDT format addresses these problems through a compact RDF representation, that partitions and efficiently represents three components: Header (metadata), Dictionary (strings occurring in the dataset), and Triples (graph structure). This paper revisits the format and exploits the latest findings in triples indexing for querying, exchanging and visualizing RDF information at large scale. © 2011 Springer-Verlag.
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CITATION STYLE
Fernández, J. D., Martínez-Prieto, M. A., Arias, M., Gutierrez, C., Álvarez-García, S., & Brisaboa, N. R. (2011). Lightweighting the web of data through compact RDF/HDT. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7023 LNAI, pp. 483–493). https://doi.org/10.1007/978-3-642-25274-7_49
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