Self-Indexing RDF Archives

被引：11

作者：

Cerdeira-Pena, Ana ^{[1
]}

Farina, Antonio ^{[1
]}

Fernandez, Javier D. ^{[2
]}

Martinez-Prieto, Miguel A. ^{[3
]}

机构：

[1] Univ A Coruna, Fac Informat, Database Lab, La Coruna, Spain

[2] Vienna Univ Econ & Business WU, Inst Informat Business, Vienna, Austria

[3] Univ Valladolid, Dept Comp Sci, DataWeb Res, E-47002 Valladolid, Spain

来源：

2016 DATA COMPRESSION CONFERENCE (DCC) | 2016年

基金：

奥地利科学基金会;

关键词：

REPRESENTATION;

D O I：

10.1109/DCC.2016.40

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Although Big RDF management is an emerging topic in the so-called Web of Data, existing techniques disregard the dynamic nature of RDF data. These RDF archives evolve over time and need to be preserved and queried across it. This paper presents v-RDFCSA, an RDF archiving solution that extends RDFCSA (an RDF self-index) to provide version based queries on top of compressed RDF archives. Our experiments show that v-RDFCSA reduces space requirements up to 35 60 times over a state-of-the-art baseline, and gets more than one order of magnitude ahead over it for query resolution.

引用

页码：526 / 535

页数：10

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