Quotation Fernandez Garcia, Javier David, Martínez-Prieto, Miguel A., Polleres, Axel, Reindorf, Julian. 2018. HDTQ: Managing RDF Datasets in Compressed Space. In ESWC, Hrsg. Gangemi, Aldo and Navigli, Roberto and Vidal, Maria-Esther and Hitzler, Pascal and Troncy, Raphael and Hollink, Laura and Tordai, Anna and Alam, Mehwish, 191-208. Cham: Springer International Publishing.


RIS


BibTeX

Abstract

HDT (Header-Dictionary-Triples) is a compressed representation of RDF data that supports retrieval features without prior decompression. Yet, RDF datasets often contain additional graph information, such as the origin, version or validity time of a triple. Traditional HDT is not capable of handling this additional parameter(s). This work introduces HDTQ (HDT Quads), an extension of HDT that is able to represent quadruples (or quads) while still being highly compact and queryable. Two HDTQ-based approaches are introduced: Annotated Triples and Annotated Graphs, and their performance is compared to the leading open-source RDF stores on the market. Results show that HDTQ achieves the best compression rates and is a competitive alternative to well-established systems.

Tags

Press 'enter' for creating the tag

Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title HDTQ: Managing RDF Datasets in Compressed Space
Title of whole publication ESWC
Editor Gangemi, Aldo and Navigli, Roberto and Vidal, Maria-Esther and Hitzler, Pascal and Troncy, Raphael and Hollink, Laura and Tordai, Anna and Alam, Mehwish
Page from 191
Page to 208
Location Cham
Publisher Springer International Publishing
Year 2018
ISBN 978-3-319-93417-4
URL https://link.springer.com/chapter/10.1007/978-3-319-93417-4_13
Open Access Y

Associations

Projects
SPECIAL - Scalable Policy-awarE linked data arChitecture for prIvacy, trAnsparency and compLiance
Cyber-Physical Social Systems for City-wide Infrastructures
People
Fernandez Garcia, Javier David (Details)
Polleres, Axel (Details)
Reindorf, Julian (Former researcher)
External
Martínez-Prieto, Miguel A. (University of Valladolid, Spain)
Organization
Applied Information Technology (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1108 Informatics (Details)
1109 Information and data processing (Details)
1122 Artificial intelligence (Details)
5367 Management information systems (Details)
5937 Information systems (Details)
Google Scholar: Search