Name
Abstract | ||
|---|---|---|
Merging information can be of key importance in several XML-based applications. For instance, merging the RSS news from different sources and providers can be beneficial for end-users (journalists, economists, etc.) in various scenarios. In this work, we address this issue and mainly explore the relatedness relationships between RSS entities/elements. To validate our approach, we also provide a set of experimental tests showing satisfactory results. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-02937-0_6 | Studies in Computational Intelligence |
Field | DocType | Volume |
Semantic similarity,World Wide Web,XML,Information retrieval,Computer science,Document Object Model,Merge (version control),RSS | Conference | 226 |
ISSN | Citations | PageRank |
1860-949X | 1 | 0.35 |
References | Authors | |
12 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fekade Getahun | 1 | 43 | 8.27 |
| J. Tekli | 2 | 1 | 0.35 |
| M. Viviani | 3 | 1 | 1.03 |
| R. Chbeir | 4 | 15 | 4.66 |
| K. Yetongnon | 5 | 1 | 0.35 |