Accelerating Data Discovery with an Ontology-Driven Tool for an Enterprise-Scale Data Lake Environment

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.

Cite

Text

Raje et al. "Accelerating Data Discovery with an Ontology-Driven Tool for an Enterprise-Scale Data Lake Environment." AAAI Conference on Artificial Intelligence, 2021. doi:10.1609/AAAI.V35I18.18024

Markdown

[Raje et al. "Accelerating Data Discovery with an Ontology-Driven Tool for an Enterprise-Scale Data Lake Environment." AAAI Conference on Artificial Intelligence, 2021.](https://mlanthology.org/aaai/2021/raje2021aaai-accelerating/) doi:10.1609/AAAI.V35I18.18024

BibTeX

@inproceedings{raje2021aaai-accelerating,
  title     = {{Accelerating Data Discovery with an Ontology-Driven Tool for an Enterprise-Scale Data Lake Environment}},
  author    = {Raje, Satyajeet and Kervin, Karina and Issaie, Nergal and Channapatna, Madhu},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2021},
  pages     = {16100-16102},
  doi       = {10.1609/AAAI.V35I18.18024},
  url       = {https://mlanthology.org/aaai/2021/raje2021aaai-accelerating/}
}