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ETD Abstract Container

Abstract Header

XML-BASED DATA INTEGRATION FOR APPLICATION INTROPERABILITY

ZHAN, YUNSONG
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1020432798

Abstract Details

2002, PhD, University of Cincinnati, Engineering : Computer Science and Engineering.
The emerging application-to-application paradigm allows an organization's data to be shared across applications in both intra-enterprise and inter-enterprise contexts. In order to seamlessly integrate information from disparate, heterogeneous, and multi-organizational applications and quickly adapt to new application contexts, rigid information modeling and proprietary data representation technology have proven inadequate. Conventional data integration approaches are based on database systems that represent data semantics using static structured data schemas. They cannot provide adequate facilities to satisfy the increasing need for effective and efficient application data integration from heterogeneous data sources. Applications need to be built on an information model that is standards-based, flexible, and adaptable. This research proposes a framework that adopts a semi-structured data integration approach using a data view mechanism and XML and XPath standards. A prototype of the framework is designed and implemented using a loosely-coupled mediator-agent-adapter architecture based on distributed component technology. An XML query language provides the basis for data view definition as well as query specification and transformation. A denotational semantics and an abstract syntax of the query language are defined here to provide a formal basis for implementation of query processing and logical query optimization. The mapping between the concrete XML syntax and the abstract syntax of the query language is defined to facilitate implementation of query processing. The XMark benchmark for XML databases is used to assess the functionality and performance of the prototyped implementation of the query language and system. The benchmarking result and analysis establish a base line query performance measure for the proposed data integration framework and identify the characteristics of different system implementations.
Dr. Karen C. Davis (Advisor)
111 p.
Computer Science

Recommended Citations

Citations

  • ZHAN, Y. (2002). XML-BASED DATA INTEGRATION FOR APPLICATION INTROPERABILITY [Doctoral dissertation, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1020432798

    APA Style (7th edition)

  • ZHAN, YUNSONG. XML-BASED DATA INTEGRATION FOR APPLICATION INTROPERABILITY. 2002. University of Cincinnati, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1020432798.

    MLA Style (8th edition)

  • ZHAN, YUNSONG. "XML-BASED DATA INTEGRATION FOR APPLICATION INTROPERABILITY." Doctoral dissertation, University of Cincinnati, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1020432798

    Chicago Manual of Style (17th edition)

ucin1020432798
798
© 2002, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.