The emergence of the Web has made more and more news items available, however only a small subset of these news items are relevant in a decision making process. Therefore decision makers need an information system that is capable of extracting a set of relevant news items automatically. This paper proposes a framework that provides decision makers with the ability to extract a set of news items related to specific concepts of interest. This is accomplished by creating a knowledge base and developing a system that classifies news with respect to the knowledge base.

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ERIM Article Series (EAS)
Erasmus Research Institute of Management

Borsje, J., Levering, L., & Frasincar, F. (2008). Hermes: A semantic Web-based news decision support system. In ERIM Article Series (EAS). doi:10.1145/1363686.1364258