Title :
Integrating Big Data: A Semantic Extract-Transform-Load Framework
Author :
Bansal, Srividya K. ; Kagemann, Sebastian
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 :
Big Data; data integration; ETL process; ETL workflow; big data integration; heterogeneous sources; semantic ETL framework; semantic extract-transform-load framework; semantic relationships; Big data; Data mining; Data models; Ontologies; Resource description framework; Semantics; LOD; big data; data integration; linked data; ontology engineering; semantic technologies;
