NOAM: News Outlets Analysis and Monitoring System
Summary: NOAM: integrated news-media monitoring platform; rel DB plus AI (data mining, ML, NLP) in a distributed module architecture to populate and annotate data. Scales to tens of millions of multilingual items with automatic semantic annotation enabling semantic queries, plus a unified UI. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Ilias Flaounas (University of Bristol)
- 2. Omar Ali (University of Bristol)
- 3. Marco Turchi (European Computer-Industry Research Center)
- 4. Tristan Snowsill (University of Bristol)
- 5. Florent Nicart (University of Rouen)
- 6. Tijl De Bie (University of Bristol)
- 7. Nello Cristianini (University of Bristol)
BibTeX Citation
@inproceedings{flaounas_sigmod11,
title = {{NOAM: News Outlets Analysis and Monitoring System}},
author = {Flaounas, Ilias and Ali, Omar and Turchi, Marco and Snowsill, Tristan and Nicart, Florent and De Bie, Tijl and Cristianini, Nello},
series = {{SIGMOD} '11},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1989323.1989474},
url = {https://dl.acm.org/doi/10.1145/1989323.1989474},
year = {2011}
}
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