info:eu-repo/semantics/article
Efficiency Analysis in Content Based Image Retrieval Using RDF Annotations
Fecha
2011-12Registro en:
Alvez, Carlos; Vecchietti, Aldo; Efficiency Analysis in Content Based Image Retrieval Using RDF Annotations; Springer Verlag; Lecture Notes in Computer Science; 7095; 12-2011; 285-296
0302-9743
CONICET Digital
CONICET
Autor
Alvez, Carlos
Vecchietti, Aldo
Resumen
Nowadays it is common to combine low-level and semantic data for image retrieval. The images are stored in databases and computer graphics algorithms are employed to get the pictures. Most of the works consider both aspects separately. In this work, using the capabilities of a commercial ORDBMS a reference architecture was implemented for recovering images, and then a performance analysis is realized using several index types to search some specific semantic data stored in the database via RDF triples. The experiments analyzed the mean recovery time of triples in tables having a hundred of thousands to millions of triples. The performance obtained using Bitmap, B-Tree and Hash Partitioned indexes are analyzed. The results obtained with the experiences performed are implemented in the reference architecture in order to speed up the pattern search.