Cloud-based RDF data management

Zoi Kaoudi, Ioana Manolescu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

The W3C's Resource Description Framework (or RDF, in short) is set to deliver many of the original semi-structured data promises: exible structure, optional schema, and rich, exible URIs as a basis for information sharing. Moreover, RDF is uniquely positioned to benefit from the efforts of scientific communities studying databases, knowledge representation, and Web technologies. As a consequence, numerous collections of RDF data are published, going from scientific data to general-purpose ontologies to open government data, in particular published as part of the Linked Data movement. Managing such large volumes of RDF data is challenging, due to the sheer size, the heterogeneity, and the further complexity brought by RDF reasoning. To tackle the size challenge, distributed storage architectures are required. Cloud computing is an emerging distributed paradigm massively adopted in many applications for the scalability, faulttolerance and elasticity features it provides. This tutorial presents the challenges faced in order to efficiently handle massive amounts of RDF data in a cloud environment. We provide the necessary background, analyze and classify existing solutions, and discuss open problems and perspectives.

Original languageEnglish
Title of host publicationSIGMOD 2014 - Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data
PublisherAssociation for Computing Machinery
Pages725-729
Number of pages5
ISBN (Print)9781450323765
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event2014 ACM SIGMOD International Conference on Management of Data, SIGMOD 2014 - Snowbird, UT, United States
Duration: 22 Jun 201427 Jun 2014

Other

Other2014 ACM SIGMOD International Conference on Management of Data, SIGMOD 2014
CountryUnited States
CitySnowbird, UT
Period22/6/1427/6/14

Fingerprint

Knowledge representation
Cloud computing
Information management
Ontology
Scalability
Elasticity

ASJC Scopus subject areas

  • Software
  • Information Systems

Cite this

Kaoudi, Z., & Manolescu, I. (2014). Cloud-based RDF data management. In SIGMOD 2014 - Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data (pp. 725-729). Association for Computing Machinery. https://doi.org/10.1145/2588555.2588891

Cloud-based RDF data management. / Kaoudi, Zoi; Manolescu, Ioana.

SIGMOD 2014 - Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, 2014. p. 725-729.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kaoudi, Z & Manolescu, I 2014, Cloud-based RDF data management. in SIGMOD 2014 - Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, pp. 725-729, 2014 ACM SIGMOD International Conference on Management of Data, SIGMOD 2014, Snowbird, UT, United States, 22/6/14. https://doi.org/10.1145/2588555.2588891
Kaoudi Z, Manolescu I. Cloud-based RDF data management. In SIGMOD 2014 - Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery. 2014. p. 725-729 https://doi.org/10.1145/2588555.2588891
Kaoudi, Zoi ; Manolescu, Ioana. / Cloud-based RDF data management. SIGMOD 2014 - Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, 2014. pp. 725-729
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