Goals of Ontology in big data

The following are the goals of Ontology in big data:

  • Share a common understanding of information structures across software applications
  • Make ETL faster, easier, and more accurate
  • Eliminate the need for customized, situation-specific ETL pipelines
  • The automatic incorporation of new data sources
  • Enhance information extraction from text and convert it into knowledge assets
  • Enrich existing data with structural and semantic information
  • Translate business knowledge into machine-usable software
  • Build once, use many times