HDT (data format) explained

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]

Notes and References

1. Web site: What is HDT – RDF HDT . rdfhdt.org.
2. Book: Fernández . Javier D. . Martínez-Prieto . Miguel A. . Arias . Mario . Gutierrez . Claudio . Álvarez-García . Sandra . Brisaboa . Nieves R. . Advances in Artificial Intelligence . Lightweighting the Web of Data through Compact RDF/HDT . Lecture Notes in Computer Science . 2011 . 7023 . 483–493 . 10.1007/978-3-642-25274-7_49. 978-3-642-25273-0 . 14404319 .
3. Gimenez . J. M. . Fernandez . J. D. . Martinez . M. A. . A MapReduce-based Approach to Scale Big Semantic Data Compression with HDT . IEEE Latin America Transactions . 2017 . 15 . 7 . 1270–1277 . 10.1109/TLA.2017.7959346. 45414811 .
4. 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 . de.
5. Book: Kim . YoonKyung . Lee . YoonJoon . Lee . JaeHwan . An Efficient Approach to Triple Search and Join of HDT Processing Using GPU . 70–74 . 24 May 2015. 9781612084084 .