Name
Abstract | ||
|---|---|---|
Several researches demonstrate that the use and integration of various knowledge sources improves the quality and efficiency of information systems. This paper presents the system developed by the SINAI research group at the ImageCLEF Wikipedia Retrieval task. Using only the English text associated with each image or its translation from French or German, our system applies several combinations of the textual tags and the combination of information retrieval (IR) systems. The influence of machine translation, the use of the different annotation tags and the retrieval results from different IRs systems are the main aims of this work. The obtained results show that the election of the annotation tags and the IR system have influence in the results, and some fusions of the retrieved lists can improve the performance. |
Year | Venue | Field |
|---|---|---|
2011 | CLEF (Notebook Papers/Labs/Workshop) | Information system,Annotation,Information retrieval,Computer science,Machine translation,German |
DocType | Citations | PageRank |
Conference | 1 | 0.43 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miguel Ángel García Cumbreras | 1 | 22 | 13.03 |
| Manuel Carlos Díaz-Galiano | 2 | 35 | 21.69 |
| Luis Alfonso Ureña López | 3 | 257 | 53.93 |
| Javier Arias Buendía | 4 | 1 | 0.43 |