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

Authors

  • Satyajeet Raje Global Chief Data Office, IBM
  • Karina Kervin Global Chief Data Office, IBM
  • Nergal Issaie Global Chief Data Office, IBM
  • Madhu Channapatna Global Chief Data Office, IBM

DOI:

https://doi.org/10.1609/aaai.v35i18.18024

Keywords:

Ontology, Enterprise Data Lake, Enterprise Data Management

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.
AAAI-21 Proceedings Cover

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Published

2021-05-18

How to Cite

Raje, S., Kervin, K., Issaie, N., & Channapatna, M. (2021). Accelerating Data Discovery with an Ontology-driven Tool for an Enterprise-scale Data Lake Environment. Proceedings of the AAAI Conference on Artificial Intelligence, 35(18), 16100-16102. https://doi.org/10.1609/aaai.v35i18.18024

Issue

Vol. 35 No. 18: AAAI-21 Student Papers and Demonstrations

Section

AAAI Demonstration Track