Efficient OLAP operations for RDF analytics

Elham Akbari Azirani; Francois Goasdoue; Ioana Manolescu; Alexandra Roatis

doi:10.1109/ICDEW.2015.7129548

Efficient OLAP operations for RDF analytics

Elham Akbari Azirani
, Francois Goasdoue
, Ioana Manolescu
, Alexandra Roatis

INRIA Institut National de Recherche en Informatique et en Automatique
University of Rennes
Université Paris-Saclay

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

Résumé

RDF is the leading data model for the Semantic Web, and dedicated query languages such as SPARQL 1.1, featuring in particular aggregation, allow extracting information from RDF graphs. A framework for analytical processing of RDF data was introduced in [1], where analytical schemas and analytical queries (cubes) are fully re-designed for heterogeneous, semantic-rich RDF graphs. In this novel analytical setting, we consider the following optimization problem: how to reuse the materialized result of a given RDF analytical query (cube) in order to compute the answer to another cube. We provide view-based rewriting algorithms for these cube transformations, and demonstrate experimentally their practical interest.

langue originale	Anglais
titre	ICDEW 2015 - 2015 IEEE 31st International Conference on Data Engineering Workshops
Editeur	IEEE Computer Society
Pages	71-76
Nombre de pages	6
ISBN (Electronique)	9781479984411
Les DOIs	https://doi.org/10.1109/ICDEW.2015.7129548
état	Publié - 19 juin 2015
Evénement	2015 31st IEEE International Conference on Data Engineering Workshops, ICDEW 2015 - Seoul, Corée du Sud Durée: 13 avr. 2015 → 17 avr. 2015

Série de publications

Nom	Proceedings - International Conference on Data Engineering
Volume	2015-June
ISSN (imprimé)	1084-4627

Une conférence

Une conférence	2015 31st IEEE International Conference on Data Engineering Workshops, ICDEW 2015
Pays/Territoire	Corée du Sud
La ville	Seoul
période	13/04/15 → 17/04/15

Accès au document

10.1109/ICDEW.2015.7129548

Contient cette citation

@inproceedings{faebcaffac9d452eb5e95c77b8b52f5d,

title = "Efficient OLAP operations for RDF analytics",

abstract = "RDF is the leading data model for the Semantic Web, and dedicated query languages such as SPARQL 1.1, featuring in particular aggregation, allow extracting information from RDF graphs. A framework for analytical processing of RDF data was introduced in [1], where analytical schemas and analytical queries (cubes) are fully re-designed for heterogeneous, semantic-rich RDF graphs. In this novel analytical setting, we consider the following optimization problem: how to reuse the materialized result of a given RDF analytical query (cube) in order to compute the answer to another cube. We provide view-based rewriting algorithms for these cube transformations, and demonstrate experimentally their practical interest.",

author = "Azirani, \{Elham Akbari\} and Francois Goasdoue and Ioana Manolescu and Alexandra Roatis",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 31st IEEE International Conference on Data Engineering Workshops, ICDEW 2015 ; Conference date: 13-04-2015 Through 17-04-2015",

year = "2015",

month = jun,

day = "19",

doi = "10.1109/ICDEW.2015.7129548",

language = "English",

series = "Proceedings - International Conference on Data Engineering",

publisher = "IEEE Computer Society",

pages = "71--76",

booktitle = "ICDEW 2015 - 2015 IEEE 31st International Conference on Data Engineering Workshops",

}

Azirani, EA, Goasdoue, F, Manolescu, I & Roatis, A 2015, Efficient OLAP operations for RDF analytics. Dans ICDEW 2015 - 2015 IEEE 31st International Conference on Data Engineering Workshops., 7129548, Proceedings - International Conference on Data Engineering, VOL. 2015-June, IEEE Computer Society, p. 71-76, 2015 31st IEEE International Conference on Data Engineering Workshops, ICDEW 2015, Seoul, Corée du Sud, 13/04/15. https://doi.org/10.1109/ICDEW.2015.7129548

Efficient OLAP operations for RDF analytics. / Azirani, Elham Akbari; Goasdoue, Francois; Manolescu, Ioana et al.
ICDEW 2015 - 2015 IEEE 31st International Conference on Data Engineering Workshops. IEEE Computer Society, 2015. p. 71-76 7129548 (Proceedings - International Conference on Data Engineering; Vol 2015-June).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

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T1 - Efficient OLAP operations for RDF analytics

AU - Azirani, Elham Akbari

AU - Goasdoue, Francois

AU - Manolescu, Ioana

AU - Roatis, Alexandra

PY - 2015/6/19

Y1 - 2015/6/19

N2 - RDF is the leading data model for the Semantic Web, and dedicated query languages such as SPARQL 1.1, featuring in particular aggregation, allow extracting information from RDF graphs. A framework for analytical processing of RDF data was introduced in [1], where analytical schemas and analytical queries (cubes) are fully re-designed for heterogeneous, semantic-rich RDF graphs. In this novel analytical setting, we consider the following optimization problem: how to reuse the materialized result of a given RDF analytical query (cube) in order to compute the answer to another cube. We provide view-based rewriting algorithms for these cube transformations, and demonstrate experimentally their practical interest.

AB - RDF is the leading data model for the Semantic Web, and dedicated query languages such as SPARQL 1.1, featuring in particular aggregation, allow extracting information from RDF graphs. A framework for analytical processing of RDF data was introduced in [1], where analytical schemas and analytical queries (cubes) are fully re-designed for heterogeneous, semantic-rich RDF graphs. In this novel analytical setting, we consider the following optimization problem: how to reuse the materialized result of a given RDF analytical query (cube) in order to compute the answer to another cube. We provide view-based rewriting algorithms for these cube transformations, and demonstrate experimentally their practical interest.

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DO - 10.1109/ICDEW.2015.7129548

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BT - ICDEW 2015 - 2015 IEEE 31st International Conference on Data Engineering Workshops

PB - IEEE Computer Society

T2 - 2015 31st IEEE International Conference on Data Engineering Workshops, ICDEW 2015

Y2 - 13 April 2015 through 17 April 2015

ER -

Efficient OLAP operations for RDF analytics

Résumé

Série de publications

Une conférence

Accès au document

Empreinte digitale

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