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Title:
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SEMANTIC FILTERING OF INTERNET NEWS FEEDS |
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Author(s):
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Lars Bröcker , Stefan Paal |
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ISBN:
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972-8924-19-4 |
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Editors:
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Pedro Isaías, Miguel Baptista Nunes and Inmaculada J. Martínez |
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Year:
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2006 |
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Edition:
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V I, 2 |
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Keywords:
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Content Filtering, Semantic Web, Ad-hoc Ontology |
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Type:
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Full Paper |
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First Page:
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203 |
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Last Page:
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218 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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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 categorization 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. The ontologies are created by applying a set of user-interests on the news articles, thus forming a model of the world. This model is used to automatically annotate the articles. It allows tracking of relevant changes in the topics of interest over time and can be refined through user feedback. The system setup is described and the application of the approach is illustrated. |
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