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

Institute for Data, Process and Knowledge Management (AE Polleres)

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

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.

Original language	English
Title of host publication	Data Compression Conference (DCC)
Publication status	Published - 2016

Austrian Classification of Fields of Science and Technology (ÖFOS)

102
102001 Artificial intelligence
502050 Business informatics
102015 Information systems

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University Library Catalogue

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@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

Austrian Classification of Fields of Science and Technology (ÖFOS)

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Other files and links

Querying Archives of Dynamic Linked Open Data

Cite this

Self-Indexing RDF Archives

Abstract

Austrian Classification of Fields of Science and Technology (ÖFOS)

Check availability

Other files and links

Projects

Querying Archives of Dynamic Linked Open Data

Cite this