Vertical partitioning for database design: a graphical algorithm
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
Principles of distributed database systems
Principles of distributed database systems
A comprehensive approach to horizontal class fragmentation in a distributed object based system
Distributed and Parallel Databases
Managing multimedia information in database systems
Communications of the ACM
Distributed Object Based Design: Vertical Fragmentation of Classes
Distributed and Parallel Databases
Multiple Similarity Queries: A Basic DBMS Operation for Mining in Metric Databases
IEEE Transactions on Knowledge and Data Engineering
Determining Semantic Similarity among Entity Classes from Different Ontologies
IEEE Transactions on Knowledge and Data Engineering
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Horizontal Class Partitioning in Object-Oriented Databases
DEXA '97 Proceedings of the 8th International Conference on Database and Expert Systems Applications
Algorithmic detection of semantic similarity
WWW '05 Proceedings of the 14th international conference on World Wide Web
Towards multimedia fragmentation
ADBIS'06 Proceedings of the 10th East European conference on Advances in Databases and Information Systems
Towards a novel approach to multimedia data mixed fragmentation
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
A vertical partitioning algorithm for distributed multimedia databases
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part II
DYMOND: an active system for dynamic vertical partitioning of multimedia databases
Proceedings of the 16th International Database Engineering & Applications Sysmposium
| Hi-index | 0.00 |
Database fragmentation allows reducing irrelevant data accesses by grouping data frequently accessed together in dedicated segments. In this paper, we address multimedia database fragmentation to take into account the rich characteristics of multimedia objects. We particularly discuss multimedia primary horizontal fragmentation and focus on semantic-based textual predicates implication required as a pre-process in current fragmentation algorithms in order to partition multimedia data efficiently. Identifying semantic implication between similar queries (if a user searches for the images containing a car, he would probably mean auto, vehicle, van or sport-car as well) will improve the fragmentation process. Making use of the neighborhood concept in knowledge bases to identify semantic implications constitutes the core of our proposal. A prototype has been implemented to evaluate the performance of our approach.