A schema matching approach for integrated mobility service

Abstract

We propose a schema matching method of transport service data in different schema from multiple data sources. Nowadays, open data about transport services are increasing. However, there are some challenges to use them, because they have complicated data structure such as deeply nested objects or linked small objects. And their disparate data structures make data matching more difficult. So, we present a method to make match transport services data by exploiting the data structure, terminology, and domain knowledge. The proposed method gradually adds linked objects to matching target in matching process to find corresponding attributes. Generally, wider matching target space raises false positive rate. So, our proposed method calculates similarity score of attributes taking into account reference relationships between linked objects. We experimentally evaluate the method in real-world transport service data and confirm that the method can improve the matching accuracy.