Semantic ETL-State-of-the-Art and Open Research Challenges

Jaydeep Chakraborty, Aparna Padki, Srividya Bansal

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

3 Scopus citations


There has been an exponential growth and availability of data, both structured and unstructured. Massive amounts of data are available to be harvested for competitive business advantage, sound government policies, and new insights in a broad array of applications (including healthcare, biomedicine, energy, smart cities, genomics, transportation, etc.). Yet, most of this data is inaccessible for users, as we need technology and tools to find, transform, analyze, and visualize data in order to make it consumable for decision-making. Meaningful data integration in a schema-less, and complex Big Data world of databases is a big open challenge. This survey paper presents a holistic view of literature in data integration and Extract-Transform-Load (ETL) techniques. Limitations and gaps in existing approaches are identified and open research challenges are discussed.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 11th International Conference on Semantic Computing, ICSC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781509048960
StatePublished - Mar 29 2017
Event11th IEEE International Conference on Semantic Computing, ICSC 2017 - San Diego, United States
Duration: Jan 30 2017Feb 1 2017


Other11th IEEE International Conference on Semantic Computing, ICSC 2017
CountryUnited States
CitySan Diego


  • Data Integration
  • Linked Data
  • Semantic Computing
  • Semantic ETL

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Computer Networks and Communications

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