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