Abstract
Merging related RSS news (coming from one or different sources) is beneficial for end-users with different backgrounds (journalists, economists, etc.), particularly those accessing similar information. In this paper, we provide a practical approach to both: measure the relatedness, and identify relationships between RSS elements. Our approach is based on the concepts of semantic neighborhood and vector space model, and considers the content and structure of RSS news items. © 2009 Springer Berlin Heidelberg.
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CITATION STYLE
Getahun, F., Tekli, J., Chbeir, R., Viviani, M., & Yetongnon, K. (2009). Relating RSS news/items. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5648 LNCS, pp. 442–452). https://doi.org/10.1007/978-3-642-02818-2_36
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