Towards Efficient Archiving of Dynamic Linked Open Data

Javier David Fernandez Garcia; Axel Polleres; Jürgen Umbrich

Towards Efficient Archiving of Dynamic Linked Open Data

Javier David Fernandez Garcia, Axel Polleres, Jürgen Umbrich

Data, Process and Knowledge Management (Polleres)

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

Abstract

The Linked Data paradigm has enabled a huge shared infrastructure for connecting data from different domains which can be
browsed and queried together as a huge knowledge base. However, structured interlinked datasets in this Web of data are not static but continuously evolving, which suggests the investigation of approaches to preserve
Linked data across time. In this article, we survey and analyse current
techniques addressing the problem of archiving different versions of semantic Web data, with a focus on their space efficiency, the retrieval
functionality they serve, and the performance of such operations.

Originalsprache	Englisch
Titel des Sammelwerks	DIACHRON workshop (co-located with ESWC)
Herausgeber*innen	CEUR
Erscheinungsort	Portorož, Slovenia
Seiten	1 - 15
Publikationsstatus	Veröffentlicht - 2015

Österreichische Systematik der Wissenschaftszweige (ÖFOS)

102

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http://ceur-ws.org/Vol-1377/paper6.pdfLizenz: Nicht angegeben

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Katalog der Universitätsbibliothek

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

Zitat

@inproceedings{3954db72ae9748abaff50513edf60984,

title = "Towards Efficient Archiving of Dynamic Linked Open Data",

abstract = "The Linked Data paradigm has enabled a huge shared infrastructure for connecting data from different domains which can be browsed and queried together as a huge knowledge base. However, structured interlinked datasets in this Web of data are not static but continuously evolving, which suggests the investigation of approaches to preserve Linked data across time. In this article, we survey and analyse current techniques addressing the problem of archiving different versions of semantic Web data, with a focus on their space efficiency, the retrieval functionality they serve, and the performance of such operations.",

author = "{Fernandez Garcia}, {Javier David} and Axel Polleres and J{\"u}rgen Umbrich",

year = "2015",

language = "English",

pages = "1 -- 15",

editor = "CEUR",

booktitle = "DIACHRON workshop (co-located with ESWC)",

}

TY - GEN

T1 - Towards Efficient Archiving of Dynamic Linked Open Data

AU - Fernandez Garcia, Javier David

AU - Polleres, Axel

AU - Umbrich, Jürgen

PY - 2015

Y1 - 2015

N2 - The Linked Data paradigm has enabled a huge shared infrastructure for connecting data from different domains which can be browsed and queried together as a huge knowledge base. However, structured interlinked datasets in this Web of data are not static but continuously evolving, which suggests the investigation of approaches to preserve Linked data across time. In this article, we survey and analyse current techniques addressing the problem of archiving different versions of semantic Web data, with a focus on their space efficiency, the retrieval functionality they serve, and the performance of such operations.

AB - The Linked Data paradigm has enabled a huge shared infrastructure for connecting data from different domains which can be browsed and queried together as a huge knowledge base. However, structured interlinked datasets in this Web of data are not static but continuously evolving, which suggests the investigation of approaches to preserve Linked data across time. In this article, we survey and analyse current techniques addressing the problem of archiving different versions of semantic Web data, with a focus on their space efficiency, the retrieval functionality they serve, and the performance of such operations.

M3 - Contribution to conference proceedings

SP - 1

EP - 15

BT - DIACHRON workshop (co-located with ESWC)

A2 - CEUR, null

CY - Portorož, Slovenia

ER -

Towards Efficient Archiving of Dynamic Linked Open Data

Abstract

Österreichische Systematik der Wissenschaftszweige (ÖFOS)

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Projekte

Anfragemechanismen für archivierte dynamisch verlinkte Daten

Zitat