Relating RSS News/Items

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.
Type de document :
Communication dans un congrès
ICWE '9 Proceedings of the 9th International Conference on Web Engineering, Jun 2009, San Sebastian, Spain. pp.442-452, 2009, 〈http://dx.doi.org/10.1007/978-3-642-02818-2_36〉
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https://hal.archives-ouvertes.fr/hal-01094125
Contributeur : Richard Chbeir <>
Soumis le : jeudi 11 décembre 2014 - 16:39:26
Dernière modification le : samedi 14 juillet 2018 - 01:06:16

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  • HAL Id : hal-01094125, version 1

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Fekade Getahun Taddesse, Joe Tekli, Richard Chbeir, Marco Viviani, Kokou Yétongnon. Relating RSS News/Items. ICWE '9 Proceedings of the 9th International Conference on Web Engineering, Jun 2009, San Sebastian, Spain. pp.442-452, 2009, 〈http://dx.doi.org/10.1007/978-3-642-02818-2_36〉. 〈hal-01094125〉

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