Graph-based large scale RDF data Compression

Wei Emma Zhang

doi:10.1145/2600428.2610377

Graph-based large scale RDF data Compression

Wei Emma Zhang^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

1 Citation (Scopus)

Abstract

We propose a two-stage lossless compression approach on large scale RDF data. Our approach exploits both Representation Compression and Component Compression techniques to support query and dynamic operations directly on the compressed data.

Original language	English
Title of host publication	SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval
Place of Publication	New York, NY
Publisher	Association for Computing Machinery
Pages	1276
Number of pages	1
ISBN (Print)	9781450322591
DOIs	https://doi.org/10.1145/2600428.2610377
Publication status	Published - 2014
Externally published	Yes
Event	37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014 - Gold Coast, QLD, Australia Duration: 6 Jul 2014 → 11 Jul 2014

Other

Other	37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014
Country/Territory	Australia
City	Gold Coast, QLD
Period	6/07/14 → 11/07/14

Keywords

Compression
RDF graph
Semantic web

Access to Document

10.1145/2600428.2610377

Cite this

@inproceedings{b137f48683ab4325931eefb305f8d48d,

title = "Graph-based large scale RDF data Compression",

abstract = "We propose a two-stage lossless compression approach on large scale RDF data. Our approach exploits both Representation Compression and Component Compression techniques to support query and dynamic operations directly on the compressed data.",

keywords = "Compression, RDF graph, Semantic web",

author = "Zhang, {Wei Emma}",

year = "2014",

doi = "10.1145/2600428.2610377",

language = "English",

isbn = "9781450322591",

pages = "1276",

booktitle = "SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval",

publisher = "Association for Computing Machinery",

note = "37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014 ; Conference date: 06-07-2014 Through 11-07-2014",

}

Zhang, WE 2014, Graph-based large scale RDF data Compression. in SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, New York, NY, pp. 1276, 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014, Gold Coast, QLD, Australia, 6/07/14. https://doi.org/10.1145/2600428.2610377

Graph-based large scale RDF data Compression. / Zhang, Wei Emma.
SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, NY: Association for Computing Machinery, 2014. p. 1276.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Graph-based large scale RDF data Compression

AU - Zhang, Wei Emma

PY - 2014

Y1 - 2014

N2 - We propose a two-stage lossless compression approach on large scale RDF data. Our approach exploits both Representation Compression and Component Compression techniques to support query and dynamic operations directly on the compressed data.

AB - We propose a two-stage lossless compression approach on large scale RDF data. Our approach exploits both Representation Compression and Component Compression techniques to support query and dynamic operations directly on the compressed data.

KW - Compression

KW - RDF graph

KW - Semantic web

UR - http://www.scopus.com/inward/record.url?scp=84904569540&partnerID=8YFLogxK

U2 - 10.1145/2600428.2610377

DO - 10.1145/2600428.2610377

M3 - Conference proceeding contribution

AN - SCOPUS:84904569540

SN - 9781450322591

SP - 1276

BT - SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval

PB - Association for Computing Machinery

CY - New York, NY

T2 - 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014

Y2 - 6 July 2014 through 11 July 2014

ER -

Graph-based large scale RDF data Compression

Abstract

Other

Keywords

Access to Document

Other files and links

Fingerprint

Cite this