What Type of a Matcher Are You?: Coordination of Human and Algorithmic Matchers

Abstract

In this work we explore relationships between human and algorithmic schema matchers. We provide a novel approach to similar schema matchers termed coordinated matchers and use it to predict future human matching choices. We show throughout a comprehensive analysis that human matchers are usually coordinated with intuitive algorithms, e.g., based on attribute name similarity, and frequently do not assign lower confidence levels, which indicates over confidence in their choices. Finally, we show that human choices can be reasonably predicted using collaborative algorithmic opinions based on matchers coordination.