Integrating Big Data: A Semantic Extract-Transform-Load Framework

Srividya Bansal; Sebastian Kagemann

doi:10.1109/MC.2015.76

Integrating Big Data: A Semantic Extract-Transform-Load Framework

Srividya Bansal, Sebastian Kagemann

Research output: Contribution to specialist publication › Article

71 Scopus citations

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 language	English (US)
Pages	42-50
Number of pages	9
Volume	48
No	3
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2015.76
State	Published - Mar 1 2015

Keywords

LOD
big data
data integration
linked data
ontology engineering
semantic technologies

ASJC Scopus subject areas

Computer Science(all)

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10.1109/MC.2015.76

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title = "Integrating Big Data: A Semantic Extract-Transform-Load Framework",

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.",

keywords = "LOD, big data, data integration, linked data, ontology engineering, semantic technologies",

author = "Srividya Bansal and Sebastian Kagemann",

note = "Publisher Copyright: {\textcopyright} 1970-2012 IEEE.",

year = "2015",

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Integrating Big Data: A Semantic Extract-Transform-Load Framework

Abstract

Keywords

ASJC Scopus subject areas

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