Various research projects have piloted use of the format, including with
MapReduce,[3] in comparison with
CBOR,[4] and increasing computing efficiency.[5]
^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.
ISBN978-3-642-25273-0.
S2CID14404319.
^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.
S2CID45414811.