Integrating Big Data

A Semantic Extract-Transform-Load Framework

Srividya Bansal, Sebastian Kagemann

Research output: Contribution to specialist publicationArticle

25 Citations (Scopus)

Abstract

Current tools that facilitate the extract-transform-load (ETL) process focus on ETL workflow, not on generating meaningful semantic relationships to integrate data from multiple, heterogeneous sources. A proposed semantic ETL framework applies semantics to various data fields and so allows richer data integration.

Original languageEnglish (US)
Pages42-50
Number of pages9
Volume48
No3
Specialist publicationComputer
DOIs
StatePublished - Mar 1 2015

Fingerprint

Semantics
Mathematical transformations
Data integration
Big data

Keywords

  • big data
  • data integration
  • linked data
  • LOD
  • ontology engineering
  • semantic technologies

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Integrating Big Data : A Semantic Extract-Transform-Load Framework. / Bansal, Srividya; Kagemann, Sebastian.

In: Computer, Vol. 48, No. 3, 01.03.2015, p. 42-50.

Research output: Contribution to specialist publicationArticle

Bansal, Srividya ; Kagemann, Sebastian. / Integrating Big Data : A Semantic Extract-Transform-Load Framework. In: Computer. 2015 ; Vol. 48, No. 3. pp. 42-50.
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