ISSN : 1796-217X
Volume : 4    Issue : 3    Date : May 2009

Schema Matching and Integration for Data Sharing Among Collaborating Organizations
Ozgul Unal and Hamideh Afsarmanesh
Page(s): 248-261
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Schema matching and schema integration are important components of the data sharing
infrastructure in Collaborative Networks. In order to achieve more accurate matching and integration
results and enhance efficiency, it is required to provide some mechanisms to carry out these
processes as automatically as possible. This paper addresses the problems and challenges
related to schema matching and schema integration and introduces the Semi-Automatic Schema
Matching and INTegration (SASMINT) system to automate these processes. Other systems aiming
at database interoperability typically focus either on schema matching or on schema integration. On
the other hand, the SASMINT system combines them and uses the results of schema matching for
semi-automatic schema integration. SASMINT follows a composite approach in schema matching,
which means it combines the results of variety of algorithms, making it a generic tool applicable for
different types of schemas. It also proposes a Sampler component for helping the user to assign
the weights to algorithms. Furthermore, SASMINT uses an XML-based derivation language to save
the results of schema matching and schema integration, and also to define the components of
integrated schemas, in order to further support automated query processing against integrated

Index Terms
Schema matching, schema integration, collaborative networks