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

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