AAAI2021

Accelerating Data Discovery with an Ontology-driven Tool for an Enterprise-scale Data Lake Environment

Satyajeet Raje, Karina Kervin, Nergal Issaie, Madhu Channapatna

Abstract

A large overhead in the analytics process is the time required to find relevant data. We present an ontology-driven data discovery application, implemented over IBM’s Cognitive Enterprise Data Platform (CEDP). CEDP contains a large collection of heterogeneous data assets from enterprise-wide data sources. The application accelerates the time required for data consumers to search and find data relevant for their analytics applications.