PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

NOAM: news outlets analysis and monitoring system
Ilias Flaounas, omar ali, Marco Turchi, Tristan Snowsill, florent nicart, Tijl De Bie and Nello Cristianini
In: SIGMOD 2011(2011).


We present NOAM, an integrated platform for the monitoring and analysis of news media content. NOAM is the data management system behind various applications and scientific studies aiming at modelling the mediasphere. The system is also intended to address the need in the AI community for platforms where various AI technologies are integrated and deployed in the real world. It combines a relational database (DB) with state of the art AI technologies, including data mining, machine learning and natural language processing. These technologies are organised in a robust, distributed architecture of collaborating modules, that are used to populate and annotate the DB. NOAM manages tens of millions of news items in multiple languages, automatically annotating them in order to enable queries based on their semantic properties. The system also includes a unified user interface for interacting with its various modules.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Natural Language Processing
ID Code:9218
Deposited By:Ilias Flaounas
Deposited On:21 February 2012