An efficient SQL-based RDF querying scheme
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Image retrieval and perceptual similarity
ACM Transactions on Applied Perception (TAP)
RETIN: a smart interactive digital media retrieval system
Proceedings of the 6th ACM international conference on Image and video retrieval
SemRetriev: an ontology driven image retrieval system
Proceedings of the 6th ACM international conference on Image and video retrieval
The MPEG-7 Multimedia Database System (MPEG-7 MMDB)
Journal of Systems and Software
Scalable indexing of RDF graphs for efficient join processing
Proceedings of the 18th ACM conference on Information and knowledge management
Matrix "Bit" loaded: a scalable lightweight join query processor for RDF data
Proceedings of the 19th international conference on World wide web
Combining semantic and content based image retrieval in ORDBMS
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
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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.