HDT (data format)
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HDT (Header, Dictionary, Triples) is a data structure and format for serialization which optimizes data compression while still making the media available for web navigation.[1]
The key elements of the format are the header, the dictionary or associative array, and the semantic triple.[2]
Various research projects have piloted use of the format, including with MapReduce,[3] in comparison with CBOR,[4] and increasing computing efficiency.[5]
References
- ^ "What is HDT – RDF HDT". rdfhdt.org.
- ^ Fernández, Javier D.; Martínez-Prieto, Miguel A.; Arias, Mario; Gutierrez, Claudio; Álvarez-García, Sandra; Brisaboa, Nieves R. (2011). "Lightweighting the Web of Data through Compact RDF/HDT". Advances in Artificial Intelligence. Lecture Notes in Computer Science. Vol. 7023. pp. 483–493. doi:10.1007/978-3-642-25274-7_49. ISBN 978-3-642-25273-0. S2CID 14404319.
- ^ Gimenez, J. M.; Fernandez, J. D.; Martinez, M. A. (2017). "A MapReduce-based Approach to Scale Big Semantic Data Compression with HDT". IEEE Latin America Transactions. 15 (7): 1270–1277. doi:10.1109/TLA.2017.7959346. S2CID 45414811.
- ^ "Binary Representation of Device Descriptions: CBOR versus RDF HDT - Hochschule für Technik und Wirtschaft Berlin University of Applied Sciences - HTW Berlin". www.htw-berlin.de (in German).
- ^ Kim, YoonKyung; Lee, YoonJoon; Lee, JaeHwan (24 May 2015). An Efficient Approach to Triple Search and Join of HDT Processing Using GPU. pp. 70–74. ISBN 9781612084084.