Merging XML documents can be of key importance in several applications. For instance, merging the RSS news from same or different sources and providers can be beneficial for end-users in various scenarios. In this paper, we address this issue and explore the relatedness measure between RSS elements. We show here how to define and compute exclusive relations between any two elements and provide several predefined merging operators that can be extended and adapted to human needs. We also provide a set of experiments conducted to validate our approach. © Springer Science+Business Media, LLC 2009.

Taddesse, F., Tekli, J., Chbeir, R., Viviani, M., Yetongnon, K. (2010). Semantic-based merging of RSS items. WORLD WIDE WEB, 13(1-2), 169-207 [10.1007/s11280-009-0074-4].

Semantic-based merging of RSS items

VIVIANI, MARCO
Penultimo
;
2010

Abstract

Merging XML documents can be of key importance in several applications. For instance, merging the RSS news from same or different sources and providers can be beneficial for end-users in various scenarios. In this paper, we address this issue and explore the relatedness measure between RSS elements. We show here how to define and compute exclusive relations between any two elements and provide several predefined merging operators that can be extended and adapted to human needs. We also provide a set of experiments conducted to validate our approach. © Springer Science+Business Media, LLC 2009.
Articolo in rivista - Articolo scientifico
Clustering; Document relatedness; Merging; Merging operators; RSS;
English
2010
13
1-2
169
207
none
Taddesse, F., Tekli, J., Chbeir, R., Viviani, M., Yetongnon, K. (2010). Semantic-based merging of RSS items. WORLD WIDE WEB, 13(1-2), 169-207 [10.1007/s11280-009-0074-4].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/141383
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