Self-Indexing RDF Archives

Ana Cerdeira-Pena; Antonio Fariña; Javier David Fernandez Garcia; Miguel Ángel Martínez-Prieto

Self-Indexing RDF Archives

Ana Cerdeira-Pena, Antonio Fariña, Javier David Fernandez Garcia, Miguel Ángel Martínez-Prieto

Data, Process and Knowledge Management (Polleres)

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

Abstract

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.

Originalsprache	Englisch
Titel des Sammelwerks	Data Compression Conference (DCC)
Publikationsstatus	Veröffentlicht - 2016

Österreichische Systematik der Wissenschaftszweige (ÖFOS)

102
102001 Artificial Intelligence
502050 Wirtschaftsinformatik
102015 Informationssysteme

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Katalog der Universitätsbibliothek

Andere Dateien und Links

http://dataweb.infor.uva.es/wp-content/uploads/2016/01/dcc16.pdf

Anfragemechanismen für archivierte dynamisch verlinkte Daten
Fernandez Garcia, J. D. (Projektleitung) & Polleres, A. (Projektleitung)
1/01/15 → 30/04/17
Projekt: Forschungsförderung

Zitat

@inproceedings{cf0b88d47afe4d429e8a72c6eca1432d,

title = "Self-Indexing RDF Archives",

abstract = "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.",

author = "Ana Cerdeira-Pena and Antonio Fari{\~n}a and {Fernandez Garcia}, {Javier David} and Mart{\'i}nez-Prieto, {Miguel {\'A}ngel}",

year = "2016",

language = "English",

booktitle = "Data Compression Conference (DCC)",

}

TY - GEN

T1 - Self-Indexing RDF Archives

AU - Cerdeira-Pena, Ana

AU - Fariña, Antonio

AU - Fernandez Garcia, Javier David

AU - Martínez-Prieto, Miguel Ángel

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

UR - http://dataweb.infor.uva.es/wp-content/uploads/2016/01/dcc16.pdf

M3 - Contribution to conference proceedings

BT - Data Compression Conference (DCC)

ER -

Self-Indexing RDF Archives

Abstract

Österreichische Systematik der Wissenschaftszweige (ÖFOS)

Verfügbarkeit prüfen

Andere Dateien und Links

Projekte

Anfragemechanismen für archivierte dynamisch verlinkte Daten

Zitat