Agent-based Stochastic Simulation of Schema Matching.
Hicham Assoudi, Hakim Lounis
Abstract
Hicham Assoudi, Hakim Lounis
Abstract
In this demo, we present the implementation of a novel Agent-based Modelling and Simulation approach for the Schema Matching problem called “Schema Matching Agent-based Simulation” (SMAS). Our solution aims at generating high quality schema matchings with minimum uncertainty. As far as we know, there is no previous literature describing a solution approaching the Automatic Schema Matching and Mapping problem under the angle of Agent-Based Modelling and Simulation. Keywords-schema matching; multi-agent systems; agent-based modelling and simulation
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In this demo, we present the implementation of a novel Agent-based Modelling and Simulation approach for the Schema Matching problem called “Schema Matching Agent-based Simulation” (SMAS). Our solution aims at generating high quality schema matchings with minimum uncertainty. As far as we know, there is no previous literature describing a solution approaching the Automatic Schema Matching and Mapping problem under the angle of Agent-Based Modelling and Simulation. Keywords-schema matching; multi-agent systems; agent-based modelling and simulation
Key concepts: Schema matching, Schema (genetic algorithms), Computer science, Matching (statistics), Schema evolution, Optimal matching, Data mining, Theoretical computer science