Abstract—Schema matching is widely used in many database applications, such as ontology merging, data integration, data warehouse and dataspaces.
Our main idea is to firstly extract the features about schemas from the query logs, then, use the scoring function to measure the similarity of these features,�...
Attribute-level schema matching is a critical step in numerous database applications, such as DataSpaces, Ontology Merging and Schema Integration.
To improve the classification accuracy of PMC, an Ant Colony Optimization based Feature Selection algorithm based on the idea of PMC has been proposed. The�...
Abstract—Image matching is a basic and crucial process for imagine processing Ant colony optimization (ACO) is a bio- inspired optimization algorithm�...
We propose a shape matching method for the fast retrieval of objects in 2D images. The algorithm is based on recent developments in ant colony optimization�...
Missing: Schema | Show results with:Schema
This paper presents a solution algorithm based on Artificial Bee Colony for matching UML class diagrams that is empirically evaluated and compared with Ant�...
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The ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems that can be reduced to finding good paths through�...
Missing: Schema | Show results with:Schema
At this time, the ant colony algorithm needs to be used to solve the problem. As the task size increases, the genetic algorithm is more affected than the ant�...