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An Automated Client-Driven Approach to Data Extraction using an Autonomous Decentralized Architecture
September 2000
M. Brian Blake, The MITRE Corporation
Patricia Liguori, The MITRE Corporation
ABSTRACT
Over recent years, "Internet-able" applications and architectures
have been used to support domains where there are multiple
interconnected systems that are both decentralized and
autonomous. One such domain is the support of data
management at the enterprise level. Typically, in these domains,
both the schema of the data repository and the individual query
needs of the users evolve over time. These query needs can
include both the type of data and the required format and
structure. To handle this evolution, the resulting architecture
must enforce the autonomy in systems that support the client
needs and constraints, in addition to maintaining the autonomy
in systems that support the actual data schema and extraction
mechanisms [1][5][9]. At the MITRE Corporation, this domain
has been identified in the development of a composite data
repository for the Center for Advanced Aviation System
Development (CAASD). In the development of such a repository,
the supporting architecture includes specialized mechanisms to
disseminate the data to a diverse evolving set of researchers [2].
This paper presents the motivation and design of such an
architecture to support these autonomous data extraction
environments. This run-time configurable architecture is
implemented using web-based technologies such as the
Extensible Markup Language (XML) [6][11], Java Servlets [10],
Extensible Stylesheets (XSL), and a relational database
management system (RDBMS).
Additional Search Keywords
Heterogeneous Distributed Information Systems, Novel Applications in
information service systems.
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