Towards Efficient Horizontal Multimedia Database Fragmentation using Semantic-based Predicates Implication

Abstract

Partitioning techniques are traditionally used in distributed system design to reduce accesses to irrelevant information by grouping data frequently accessed together in specific fragments. Here, we address the primary horizontal fragmentation of textually annotated multimedia data. In this study, we discuss the issue of identifying semantic implications between textual-based multimedia predicates and propose to integrate knowledge bases as a framework for assessing the semantic relatedness between predicate values and operators. Our prototype implementing the various aspects of multimedia predicates implications and experimental results show that the proposed method is relevant. Real-world multimedia fragmentation tests are ongoing.