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Proceedings Article, Paper
@InProceedings
Beitrag in Tagungsband, Workshop

Author, Editor
Author(s):
Hose, Katja
Schenkel, Ralf
Theobald, Martin
Weikum, Gerhard
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Editor(s):
Polleres, Axel
d'Amato, Claudia
Arenas, Marcello
Handschuh, Siegfried
Kroner, Paula
Ossowski, Sascha
Patel-Schneider, Peter
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dblp
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Not MPII Editor(s):
Polleres, Axel
d'Amato, Claudia
Arenas, Marcello
Handschuh, Siegfried
Kroner, Paula
Ossowski, Sascha
Patel-Schneider, Peter
BibTeX cite key*:
HoseSTW_RW11
Title, Booktitle
Title*:
Database foundations for scalable RDF processing
Booktitle*:
Reasoning Web : Semantic Technologies for the Web of Data ; 7th International Summer School 2011
Event, URLs
Conference URL::
http://reasoningweb.org/2011/
Downloading URL:
http://dx.doi.org/10.1007/978-3-642-23032-5_4
Event Address*:
Galway, Ireland
Language:
English
Event Date*
(no longer used):
Organization:
Event Start Date:
23 August 2011
Event End Date:
28 August 2011
Publisher
Name*:
Springer
URL:
Address*:
Berlin
Type:
Vol, No, Year, pp.
Series:
Lecture Notes in Computer Science
Volume:
6848
Number:
Month:
Pages:
202-249
Year*:
2011
VG Wort Pages:
ISBN/ISSN:
978-3-642-23031-8
Sequence Number:
DOI:
10.1007/978-3-642-23032-5_4
Note, Abstract, ©
(LaTeX) Abstract:
As more and more data is provided in RDF format, storing huge amounts of RDF data and efficiently processing queries on such data is becoming increasingly important. The first part of the lecture will introduce state-of-the-art techniques for scalably storing and querying RDF with relational systems, including alternatives for storing RDF, efficient index structures, and query optimization techniques. As centralized RDF repositories have limitations in scalability and failure tolerance, decentralized architectures have been proposed.
The second part of the lecture will highlight system architectures and strategies for distributed RDF processing. We cover search engines as well as federated query processing, highlight differences to classic federated database systems, and discuss efficient techniques for distributed query processing in general and for RDF data in particular.
Extracting knowledge from the Web is an excellent showcase -- and potentially one of the biggest challenges -- for the scalable management of uncertain data we have seen so far. The third part of the lecture is intended to provide a close-up on current approaches and platforms to make reasoning (e.g., in the form of probabilistic inference) with uncertain RDF data scalable to billions of triples.
Download
Access Level:
Public

Correlation
MPG Unit:
Max-Planck-Institut für Informatik
MPG Subunit:
Databases and Information Systems Group
Appearance:
MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort



BibTeX Entry:

@INPROCEEDINGS{HoseSTW_RW11,
AUTHOR = {Hose, Katja and Schenkel, Ralf and Theobald, Martin and Weikum, Gerhard},
EDITOR = {Polleres, Axel and d'Amato, Claudia and Arenas, Marcello and Handschuh, Siegfried and Kroner, Paula and Ossowski, Sascha and Patel-Schneider, Peter},
TITLE = {Database foundations for scalable {RDF} processing},
BOOKTITLE = {Reasoning Web : Semantic Technologies for the Web of Data ; 7th International Summer School 2011},
PUBLISHER = {Springer},
YEAR = {2011},
VOLUME = {6848},
PAGES = {202--249},
SERIES = {Lecture Notes in Computer Science},
ADDRESS = {Galway, Ireland},
ISBN = {978-3-642-23031-8},
DOI = {10.1007/978-3-642-23032-5_4},
}


Entry last modified by Anja Becker, 03/22/2012
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Editor(s)
[Library]
Created
04/14/2011 11:17:29 AM
Revisions
4.
3.
2.
1.
0.
Editor(s)
Anja Becker
Anja Becker
Katja Hose
Ralf Schenkel
Ralf Schenkel
Edit Dates
22.03.2012 14:50:29
12.03.2012 13:56:59
01/13/2012 12:03:49 PM
17.08.2011 16:46:27
14.04.2011 11:17:29