Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
  Database Techniques for Linked Data Management

Harth, A., Hose, K., & Schenkel, R. (2012). Database Techniques for Linked Data Management. In SIGMOD 2012 (pp. 597-600). New York, NY: ACM.

Item is

Dateien

einblenden: Dateien
ausblenden: Dateien
:
mod508t-harth.pdf (beliebiger Volltext), 160KB
 
Datei-Permalink:
-
Name:
mod508t-harth.pdf
Beschreibung:
-
OA-Status:
Sichtbarkeit:
Privat
MIME-Typ / Prüfsumme:
application/pdf
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-
Lizenz:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Harth, Andreas1, Autor
Hose, Katja2, Autor           
Schenkel, Ralf2, Autor           
Affiliations:
1External Organizations, ou_persistent22              
2Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: 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.

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 2013-03-122012
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: eDoc: 647505
DOI: 10.1145/2213836.2213909
URI: http://dx.doi.org/10.1145/2213836.2213909
Anderer: Local-ID: C1256DBF005F876D-5BAB795A662D21C7C12579BF004276F2-HarthHS2012
BibTex Citekey: HarthHS2012
 Art des Abschluß: -

Veranstaltung

einblenden:
ausblenden:
Titel: ACM SIGMOD International Conference on Management of Data
Veranstaltungsort: Scottsdale, USA
Start-/Enddatum: 2012-05-20 - 2012-05-24

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: SIGMOD 2012
  Untertitel : Proceedings of the International Conference on Management of Data
Genre der Quelle: Konferenzband
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: New York, NY : ACM
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 597 - 600 Identifikator: ISBN: 978-1-4503-1247-9