Zahra Sheikhnajdy - Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Khouzestan
Mehran Mohsenzadeh - Department of Computer Engineering, Science and Research Branch, Islamic Azad University
Mashalah Abbasi Dezfuli - Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Khouzestan

Schema matching is a critical step in many applications, such as data warehouse loading, Online Analytical Process (OLAP), Data mining, semantic web [2] and schema integration. This task is defined for finding the semantic correspondences between elements of two schemas. Recently, schema matching has found considerable interest in both research and practice. In this paper, we present a new improved solution for schema matching problem. An improvement hybrid semantic schema matching algorithm which semi automatically finds matching between two data representation schemas is introduced. The algorithm finds mappings based on the hierarchical organization of the elements of a term WordNet dictionary.

schema matching, schema integration, Ontology, RDF Schema, element level matcher, structural level matcher