A semantic Web based scientific news aggregator

Scientists want to stay connected with everything that is new in scientific world, so they constantly read several online scientific magazines and newspapers. However, not all the subjects are of interest to everyone. Consequently, a user is forced to do a lot of browsing to find the articles which are important to him. This paper presents a scientific news aggregator, structured as an online magazine. The content is automatically withdrawn from several online publications, available on the Internet. Instead of using a traditional database, all the information about the items posted on the site is stored in a RDF file, which is automatically updated.