A SPARQL Engine for Streaming RDF Data

S. Groppe; J. Groppe; D. Kukulenz; V. Linnemann

doi:10.1109/SITIS.2007.22

A SPARQL Engine for Streaming RDF Data

S. Groppe, J. Groppe, D. Kukulenz, V. Linnemann

Institut für Informationssysteme

26 Zitate (Scopus)

Abstract

The basic data format of the semantic Web is RDF. SPARQL, which has been developed by the W3C, is the upcoming standard for RDF query languages. Typical engines for processing SPARQL queries on RDF data first read all RDF data, may build indices of the complete read data and afterwards evaluate SPARQL queries. Such engines cannot operate on streaming RDF data. Streaming query engines operating on streams of data can (a) discard irrelevant input as early as possible, and thus save processing costs and space costs, (b) build indices only on those parts of the data, which are needed for the evaluation of the query, and (c) determine partial results of a query as early as possible, and thus evaluate queries more efficiently. We propose such a streaming SPARQL engine, which is the first streaming SPARQL engine to the best of our knowledge.

Originalsprache	Englisch
Titel	2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System
Seitenumfang	8
Herausgeber (Verlag)	IEEE
Erscheinungsdatum	01.12.2007
Seiten	167-174
Aufsatznummer	4618773
ISBN (Print)	978-0-7695-3122-9
DOIs	https://doi.org/10.1109/SITIS.2007.22
Publikationsstatus	Veröffentlicht - 01.12.2007
Veranstaltung	3rd IEEE International Conference on Signal Image Technologies and Internet Based Systems - Jiangong Jinjiang, China Dauer: 16.12.2008 → 18.12.2008 Konferenznummer: 74800

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Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 9 – Industrie, Innovation und Infrastruktur

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Querschnittsbereich: Intelligente Systeme
Zentren: Zentrum für Künstliche Intelligenz Lübeck (ZKIL)

DFG-Fachsystematik

4.43-03 Sicherheit und Verlässlichkeit, Betriebs-, Kommunikations- und verteilte Systeme

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10.1109/SITIS.2007.22

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@inproceedings{317f9b9ebb5a4965b85fa9b517dba486,

title = "A SPARQL Engine for Streaming RDF Data",

abstract = "The basic data format of the semantic Web is RDF. SPARQL, which has been developed by the W3C, is the upcoming standard for RDF query languages. Typical engines for processing SPARQL queries on RDF data first read all RDF data, may build indices of the complete read data and afterwards evaluate SPARQL queries. Such engines cannot operate on streaming RDF data. Streaming query engines operating on streams of data can (a) discard irrelevant input as early as possible, and thus save processing costs and space costs, (b) build indices only on those parts of the data, which are needed for the evaluation of the query, and (c) determine partial results of a query as early as possible, and thus evaluate queries more efficiently. We propose such a streaming SPARQL engine, which is the first streaming SPARQL engine to the best of our knowledge.",

author = "S. Groppe and J. Groppe and D. Kukulenz and V. Linnemann",

year = "2007",

month = dec,

day = "1",

doi = "10.1109/SITIS.2007.22",

language = "English",

isbn = "978-0-7695-3122-9",

series = "IEEE Proceedings",

publisher = "IEEE",

pages = "167--174",

booktitle = "2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System",

note = "3rd IEEE International Conference on Signal Image Technologies and Internet Based Systems, SITIS'07 ; Conference date: 16-12-2008 Through 18-12-2008",

}

Groppe, S , Groppe, J, Kukulenz, D & Linnemann, V 2007, A SPARQL Engine for Streaming RDF Data. in 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System., 4618773, IEEE Proceedings, IEEE, S. 167-174, 3rd IEEE International Conference on Signal Image Technologies and Internet Based Systems, Jiangong Jinjiang, China, 16.12.08. https://doi.org/10.1109/SITIS.2007.22

TY - GEN

T1 - A SPARQL Engine for Streaming RDF Data

AU - Groppe, S.

AU - Groppe, J.

AU - Kukulenz, D.

AU - Linnemann, V.

N1 - Conference code: 74800

PY - 2007/12/1

Y1 - 2007/12/1

N2 - The basic data format of the semantic Web is RDF. SPARQL, which has been developed by the W3C, is the upcoming standard for RDF query languages. Typical engines for processing SPARQL queries on RDF data first read all RDF data, may build indices of the complete read data and afterwards evaluate SPARQL queries. Such engines cannot operate on streaming RDF data. Streaming query engines operating on streams of data can (a) discard irrelevant input as early as possible, and thus save processing costs and space costs, (b) build indices only on those parts of the data, which are needed for the evaluation of the query, and (c) determine partial results of a query as early as possible, and thus evaluate queries more efficiently. We propose such a streaming SPARQL engine, which is the first streaming SPARQL engine to the best of our knowledge.

AB - The basic data format of the semantic Web is RDF. SPARQL, which has been developed by the W3C, is the upcoming standard for RDF query languages. Typical engines for processing SPARQL queries on RDF data first read all RDF data, may build indices of the complete read data and afterwards evaluate SPARQL queries. Such engines cannot operate on streaming RDF data. Streaming query engines operating on streams of data can (a) discard irrelevant input as early as possible, and thus save processing costs and space costs, (b) build indices only on those parts of the data, which are needed for the evaluation of the query, and (c) determine partial results of a query as early as possible, and thus evaluate queries more efficiently. We propose such a streaming SPARQL engine, which is the first streaming SPARQL engine to the best of our knowledge.

UR - https://www.scopus.com/pages/publications/57849128901

U2 - 10.1109/SITIS.2007.22

DO - 10.1109/SITIS.2007.22

M3 - Conference contribution

SN - 978-0-7695-3122-9

T3 - IEEE Proceedings

SP - 167

EP - 174

BT - 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System

PB - IEEE

T2 - 3rd IEEE International Conference on Signal Image Technologies and Internet Based Systems

Y2 - 16 December 2008 through 18 December 2008

ER -

A SPARQL Engine for Streaming RDF Data

Abstract

UN SDGs

Strategische Forschungsbereiche und Zentren

DFG-Fachsystematik

Dokumente

Weitere Links

Fingerprint

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