HDT (data format)

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.{{cite web |title=What is HDT – RDF HDT |url=https://www.rdfhdt.org/what-is-hdt/ |website=rdfhdt.org}}

The key elements of the format are the header, the dictionary or associative array, and the semantic triple.{{cite book |last1=Fernández |first1=Javier D. |last2=Martínez-Prieto |first2=Miguel A. |last3=Arias |first3=Mario |last4=Gutierrez |first4=Claudio |last5=Álvarez-García |first5=Sandra |last6=Brisaboa |first6=Nieves R. |title=Advances in Artificial Intelligence |chapter=Lightweighting the Web of Data through Compact RDF/HDT |series=Lecture Notes in Computer Science |date=2011 |volume=7023 |pages=483–493 |doi=10.1007/978-3-642-25274-7_49|isbn=978-3-642-25273-0 |s2cid=14404319 }}

Various research projects have piloted use of the format, including with MapReduce,{{cite journal |last1=Gimenez |first1=J. M. |last2=Fernandez |first2=J. D. |last3=Martinez |first3=M. A. |title=A MapReduce-based Approach to Scale Big Semantic Data Compression with HDT |journal=IEEE Latin America Transactions |date=2017 |volume=15 |issue=7 |pages=1270–1277 |doi=10.1109/TLA.2017.7959346|s2cid=45414811 }} in comparison with CBOR,{{cite journal |title=Binary Representation of Device Descriptions: CBOR versus RDF HDT - Hochschule für Technik und Wirtschaft Berlin University of Applied Sciences - HTW Berlin |website=www.htw-berlin.de |url=https://www.htw-berlin.de/forschung/online-forschungskatalog/publikationen/publikation/?eid=10850 |language=de}} and increasing computing efficiency.{{cite book |last1=Kim |first1=YoonKyung |last2=Lee |first2=YoonJoon |last3=Lee |first3=JaeHwan |title=An Efficient Approach to Triple Search and Join of HDT Processing Using GPU |url=https://www.thinkmind.org/index.php?view=article&articleid=dbkda_2015_4_30_50143 |pages=70–74 |date=24 May 2015|isbn=9781612084084 }}