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Proceedings Article, Paper
@InProceedings
Beitrag in Tagungsband, Workshop

Author, Editor
Author(s):
Harth, Andreas
Hose, Katja
Schenkel, Ralf
dblp
dblp
dblp
Not MPG Author(s):
Harth, Andreas
Editor(s):
BibTeX cite key*:
HarthHS2012
Title, Booktitle
Title*:
Database Techniques for Linked Data Management
mod508t-harth.pdf (159.43 KB)
Booktitle*:
SIGMOD 2012 : Proceedings of the International Conference on Management of Data
Event, URLs
Conference URL::
http://www.sigmod.org/2012/index.shtml
Downloading URL:
http://dx.doi.org/10.1145/2213836.2213909
Event Address*:
Scottsdale, USA
Language:
English
Event Date*
(no longer used):
Organization:
Event Start Date:
20 May 2012
Event End Date:
24 May 2012
Publisher
Name*:
ACM
URL:
Address*:
New York, NY
Type:
Vol, No, Year, pp.
Series:
Volume:
Number:
Month:
Pages:
597-600
Year*:
2012
VG Wort Pages:
ISBN/ISSN:
978-1-4503-1247-9
Sequence Number:
DOI:
10.1145/2213836.2213909
Note, Abstract, ©
(LaTeX) Abstract:
Linked Data refers to data published in accordance with a number of principles rooted in web standards. In the past few years we have witnessed a tremendous growth in Linked Data publishing on the web, leading to tens of billions of data items published online. Querying the data is a key functionality required to make use of the wealth of rich interlinked data. The goal of the tutorial is to introduce, motivate, and detail techniques for querying heterogeneous structured data from across the web. Our tutorial aims to introduce database researchers and practitioners to the new publishing paradigm on the web, and show how the abundance of data published as Linked Data can serve as fertile ground for database research and experimentation. As such, the tutorial focuses on applying database techniques to processing Linked Data, such as optimized indexing and query processing methods in the centralized setting as well as distributed approaches for querying. At the same time, we make the connection from Linked Data best practices to established technologies in distributed databases and the concept of Dataspaces and show differences as well as commonalities between the fields.
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{HarthHS2012,
AUTHOR = {Harth, Andreas and Hose, Katja and Schenkel, Ralf},
TITLE = {Database Techniques for Linked Data Management},
BOOKTITLE = {SIGMOD 2012 : Proceedings of the International Conference on Management of Data},
PUBLISHER = {ACM},
YEAR = {2012},
PAGES = {597--600},
ADDRESS = {Scottsdale, USA},
ISBN = {978-1-4503-1247-9},
DOI = {10.1145/2213836.2213909},
}


Entry last modified by Anja Becker, 03/12/2013
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Editor(s)
[Library]
Created
03/12/2012 01:05:58 PM
Revisions
3.
2.
1.
0.
Editor(s)
Anja Becker
Anja Becker
Ralf Schenkel
Ralf Schenkel
Edit Dates
12.03.2013 11:51:50
22.02.2013 10:53:24
18.06.2012 14:04:43
12.03.2012 13:05:58


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