Deriving an emergent relational schema from RDF data

Minh Duc Pham, Linnea Passing, Orri Erling, Peter Boncz

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

We motivate and describe techniques that allow to detect an "emergent" relational schema from RDF data. We show that on a wide variety of datasets, the found structure explains well over 90% of the RDF triples. Further, we also describe technical solutions to the semantic challenge to give short names that humans find logical to these emergent tables, columns and relationships between tables. Our techniques can be exploited in many ways, e.g., to improve the efficiency of SPARQL systems, or to use existing SQL-based applications on top of any RDF dataset using a RDBMS.

Original languageEnglish
Title of host publicationWWW 2015 - Proceedings of the 24th International Conference on World Wide Web
PublisherAssociation for Computing Machinery, Inc
Pages864-874
Number of pages11
ISBN (Electronic)9781450334693
DOIs
Publication statusPublished - 18 May 2015
Event24th International Conference on World Wide Web, WWW 2015 - Florence, Italy
Duration: 18 May 201522 May 2015

Conference

Conference24th International Conference on World Wide Web, WWW 2015
CountryItaly
CityFlorence
Period18/05/1522/05/15

Keywords

  • RDF
  • Relational schema
  • Structure recognition

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