Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Ontology Based Semantic Similarity Comparison of Documents
DEXA '03 Proceedings of the 14th International Workshop on Database and Expert Systems Applications
A comparative study of ontology based term similarity measures on PubMed document clustering
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
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Continuous RSS content aggregation makes users to face problems caused by excess of information, such as the retrieval of low relevant items and the repetitive consumption of information about the same fact. That's why intelligent RSS aggregators try to capture user wishes, applying content filtering and classification to aggregate only relevant information during the aggregation process. In this context, the intelligent aggregation process here described has the premise of using collaboration to construct a taxonomy of the terms and concepts extracted from the RSS items, allowing the user to select relevant subjects for aggregation. The validation of this process still depends on the development of a prototype and the analysis of the results of a case study to verify the quality of the aggregated content.