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  Database foundations for scalable RDF processing

Hose, K., Schenkel, R., Theobald, M., & Weikum, G. (2011). Database foundations for scalable RDF processing. In A. Polleres, C. d'Amato, M. Arenas, S. Handschuh, P. Kroner, S. Ossowski, et al. (Eds.), Reasoning Web (pp. 202-249). Berlin: Springer. doi:10.1007/978-3-642-23032-5_4.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-1439-A Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-11DE-7
Genre: Conference Paper
Latex : Database foundations for scalable {RDF} processing

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 Creators:
Hose, Katja1, Author           
Schenkel, Ralf1, Author           
Theobald, Martin1, Author           
Weikum, Gerhard1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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 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.

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Language(s): eng - English
 Dates: 20112011
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 618960
DOI: 10.1007/978-3-642-23032-5_4
URI: http://dx.doi.org/10.1007/978-3-642-23032-5_4
Other: Local-ID: C1256DBF005F876D-364A47C246F0504AC125787200330A5A-HoseSTW_RW11
 Degree: -

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Title: 7th International Summer School
Place of Event: Galway, Ireland
Start-/End Date: 2011-08-23 - 2011-08-28

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Source 1

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Title: Reasoning Web
  Subtitle : Semantic Technologies for the Web of Data ; 7th International Summer School 2011
Source Genre: Proceedings
 Creator(s):
Polleres, Axel1, Editor
d'Amato, Claudia1, Editor
Arenas, Marcello1, Editor
Handschuh, Siegfried1, Editor
Kroner, Paula1, Editor
Ossowski, Sascha1, Editor
Patel-Schneider, Peter1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 202 - 249 Identifier: ISBN: 978-3-642-23031-8

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Title: Lecture Notes in Computer Science
  Abbreviation : LNCS
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 6848 Sequence Number: - Start / End Page: - Identifier: -