Compressed and queryable self-indexes for RDF archives-Reference-Cited by-同舟云学术

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Compressed and queryable self-indexes for RDF archives

Published:2023-08-29 Issue:1 Volume:66 Page:381-417
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Cerdeira-Pena Ana,de Bernardo Guillermo,Fariña Antonio,Fernández Javier D.,Martínez-Prieto Miguel A.

Funder

Xunta de Galicia, ERDF

MICINN

Ministerio de Ciencia e Innovación

MCIU-AEI/FEDER-UE

Xunta de Galicia, IGAPE

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s10115-023-01967-7.pdf

Reference60 articles.

1. Abeliuk A, Cánovas R, Navarro G (2013) Practical compressed suffix trees. Algorithms 6(2):319–351. https://doi.org/10.3390/a6020319

2. Ali W, Saleem M, Yao B et al (2022) A survey of RDF stores & SPARQL engines for querying knowledge graphs. VLDB J 31(3):1–26. https://doi.org/10.1007/s00778-021-00711-3

3. Álvarez-García S, Brisaboa N, Fernández J et al (2015) Compressed vertical partitioning for efficient RDF management. Knowl Inf Syst 44(2):439–474. https://doi.org/10.1007/s10115-014-0770-y

4. Arndt N, Naumann P, Radtke N et al (2019) Decentralized collaborative knowledge management using git. J Web Semant 54:29–47. https://doi.org/10.1016/j.websem.2018.08.002

5. Atre M, Chaoji V, Zaki MJ et al (2010) Matrix “bit” loaded: A scalable lightweight join query processor for RDF data. In: Proceedings of the 19th international conference on world wide web (WWW), pp 41–50. https://doi.org/10.1145/1772690.1772696

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