Page 40 - 2019
P. 40
Ph.D.
(Computer Application)
DESIGNING DATA INTEGRATION MODEL
FOR DATA RESOURCE SYSTEM
Ph.D. Scholar : Saurabhkumar Amrutlal Dave
Research Supervisor : Dr. Satyen M. Parikh
Regi. No.: 12146041001
Abstract :
Data integration is used to allow further manipulation of the data transparently
throughout the different sources in and out of the different data resource systems. During
the study of the various data resource system we have found the serious need of the data
integration at various levels.
This level could be peer to peer integration, centralised integration, web - xml data
integration, cloud data integration, heterogeneous data integration, RDF data integration,
e-governance project based data integrations, ERP’s different data and module
integration which include the personal information, product information, human resource
information, payroll, relationship management information, stock management
information throughout the different systems and geographically distributed systems etc.
It is always a different kind of data heterogeneity is there in the system, which is caused
by syntactic heterogeneity where in different programming languages are used for the
modeling techniques of the different data sources. Another type of data heterogeneity is
caused by the schematic heterogeneity where in the result is derived from the different
structure of source of schemas at different levels and time, and the last one is semantic
heterogeneity, this arises from the different sources which contains the instances of the
meanings or interpretations of the data and structure.
The key belief of the emerging data integration modeling is, it’s different ontology most
important the formal and explicit precise description of the shared conceptualization. It is
used for the different ontologies and can result into the excellent data integration in
different ways, this will include the mapping of the data using the data mapping,
representation of the metadata and it’s structure, formation of the query and execution of
the query at the different levels especially at the high level, declaration of the mediation,
global concept and structure mapping.
Looking at the main and important work done with this thesis, we have designed a data
integration model which can help in integrating different data resource system without
affection of the nature and originality of the data, It has a major focus on the different
types of ontologies and there all the concepts and categories in the process of data
21