Semantic-based Merging of RSS Items

被引：15
|
作者：
Taddesse, Fekade Getahun [1 ]
Tekli, Joe [1 ]
Chbeir, Richard [1 ]
Viviani, Marco [1 ]
Yetongnon, Kokou [1 ]
机构：
[1] Univ Bourgogne, CNRS, Lab UMR LE21, F-21078 Dijon, France
来源：
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS | 2010年 / 13卷 / 1-2期
关键词：
RSS; merging; document relatedness; clustering; merging operators; INFORMATION; FRAMEWORK;
D O I：
10.1007/s11280-009-0074-4
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：169 / 207
页数：39
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