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integration. We have also defined different sets of constraints and rule based approaches
to solve the issues in the data integration where the nature of data is heterogeneous to
make all data interoperability throughout the data resource systems. moreover, we have
presented our different approaches to support and implement the ontology-based
different system data integration. We have also discussed the primary issues which
includes different metadata representation and process of mapping the same metadata.
We have also focused on different query processing at different levels of system in order
to support approaches to different applications. Data extraction and transformation has
played a big role in the entire processing.

Moreover, in this thesis, we report our achievements and work done with designing a data
integration model for different data resource system on various ontology-based
heterogeneous data integration, forward engineering and reverse-engineering of the data
integration techniques, various storage and restore mechanism, discussion on basic
issues which includes representation of metadata, mapping of the various process, and
implementations and process of the various query, in our way of dealing with different
data integration modeling to design a new data integration model for the data resource
system.

Keywords: Data Integration, Data Modeling, Data Resource System, Database
Management System, Local As View, Global As View, Enterprise Resource Planning,
Modeling Techniques, System Engineering, Forward and Reverse Engineering,
eGovernence

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