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hdt-java-parent from group eu.wdaqua (version 2.1)
HDT (Header, Dictionary, Triples) is a compact data structure and binary serialization format for RDF that keeps big datasets compressed to save space while maintaining search and browse operations without prior decompression. This makes it an ideal format for storing and sharing RDF datasets on the Web.
Group: eu.wdaqua Artifact: hdt-java-parent
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Artifact hdt-java-parent
Group eu.wdaqua
Version 2.1
Last update 23. March 2018
Tags: binary save datasets data space maintaining prior while compact sharing browse search keeps structure makes ideal format dictionary storing without header that compressed serialization triples decompression operations this
Organization DataWeb Research
URL http://www.rdfhdt.org/
License not specified
Dependencies amount 0
Dependencies No dependencies
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Group eu.wdaqua
Version 2.1
Last update 23. March 2018
Tags: binary save datasets data space maintaining prior while compact sharing browse search keeps structure makes ideal format dictionary storing without header that compressed serialization triples decompression operations this
Organization DataWeb Research
URL http://www.rdfhdt.org/
License not specified
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
hdt-java-parent from group eu.wdaqua (version 2.0)
HDT (Header, Dictionary, Triples) is a compact data structure and binary serialization format for RDF that keeps big datasets compressed to save space while maintaining search and browse operations without prior decompression. This makes it an ideal format for storing and sharing RDF datasets on the Web.
Group: eu.wdaqua Artifact: hdt-java-parent
There is no JAR file uploaded. A download is not possible! Please choose another version.
0 downloads
Artifact hdt-java-parent
Group eu.wdaqua
Version 2.0
Last update 09. January 2018
Tags: binary save datasets data space maintaining prior while compact sharing browse search keeps structure makes ideal format dictionary storing without header that compressed serialization triples decompression operations this
Organization INSIGHT Centre for Data Analytics
URL http://www.rdfhdt.org/
License not specified
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group eu.wdaqua
Version 2.0
Last update 09. January 2018
Tags: binary save datasets data space maintaining prior while compact sharing browse search keeps structure makes ideal format dictionary storing without header that compressed serialization triples decompression operations this
Organization INSIGHT Centre for Data Analytics
URL http://www.rdfhdt.org/
License not specified
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
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