Relating RSS News/Items

Getahun, Fekade; Chbeir, Richard; Viviani, Marco; Yetongnon, Kokou

Relating RSS News/Items

Getahun, Fekade; Chbeir, Richard; Viviani, Marco; Yetongnon, Kokou

URI: http://hdl.handle.net/10725/5862

URL: https://link.springer.com/chapter/10.1007/978-3-642-02818-2_36

DOI: https://doi.org/10.1007/978-3-642-02818-2_36

Date: 2009

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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.

Citation:

Getahun, F., Tekli, J., Chbeir, R., Viviani, M., & Yetongnon, K. (2009). Relating RSS news/items. In Web Engineering: 9th International Conference, ICWE 2009 San Sebastián, Spain, June 24-26, 2009 Proceedings 9 (pp. 442-452). Springer Berlin Heidelberg.