Filtering Internet news feeds using ad-hoc ontologies

News feeds using RDF Site Summary (RSS) are becoming common-place for news providers on the Internet. Using a news aggregator, users can stay informed about the topics they are interested in without having to constantly check the actual web pages themselves. This near instant availability of a plethora of news sources poses new challenges: filtering and categorisation techniques are needed that adapt to changing information needs of the users as well as to the changes occurring in the topics reported on. This paper presents an approach to filtering news feeds relevant to a set of interests using ad-hoc ontologies. These filters are created from a small core-ontology describing topics of articles the user is interested in.