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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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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

URL of the conference:

http://reasoningweb.org/2011/

URL for downloading the paper:

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
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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
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