| Título: | A probabilistic, text and knowledge-based image retrieval system |
| Autores: |
Izquierdo Beviá, Rubén Tomás Díaz, David Saiz Noeda, Maximiliano Vicedo González, José Luis |
| Fecha: |
2008-08-04 2008-08-04 2006 2006 |
| Publicador: | RUA Docencia |
| Fuente: |
 |
| Tipo: | info:eu-repo/semantics/article |
| Tema: |
Image retrieval Probabilistic based Text based Knowledge based Procesamiento del Lenguaje Natural |
| Descripción: |
This paper describes the development of an image retrieval
system that combines probabilistic and ontological information1. The
process is divided in two different stages: indexing and retrieval. Three
information flows have been created with different kind of information
each one: word forms, stems and stemmed bigrams. The final result combines
the results obtained in the three streams. Knowledge is added to
the system by means of an ontology created automatically from the St.
Andrews Corpus. The system has been evaluated at CLEF05 image retrieval
task. This work has been partially supported by the Spanish Government (CICYT) with grant TIC2003-07158-c04-01. |
| Idioma: | Inglés |
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