SIE-OBI: A Streaming Information Extraction Platform for Operational Business Intelligence
Summary: SIE-OBI is a streaming information extraction platform for operational BI, enabling real-time correlation across streaming, stored, and unstructured data. It offers a declarative interface and an optimization/execution engine to rapidly develop and deploy BI apps, illustrated by two use cases. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Malu Castellanos (Hewlett Packard Enterprise)
- 2. Song Wang (Hewlett Packard Enterprise)
- 3. Umeshwar Dayal (Hewlett Packard Enterprise)
- 4. Chetan Gupta (Hewlett Packard Enterprise)
BibTeX Citation
@inproceedings{castellanos_sigmod10,
title = {{SIE-OBI: A Streaming Information Extraction Platform for Operational Business Intelligence}},
author = {Castellanos, Malu and Wang, Song and Dayal, Umeshwar and Gupta, Chetan},
series = {{SIGMOD} '10},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1807167.1807292},
url = {https://dl.acm.org/doi/10.1145/1807167.1807292},
year = {2010}
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