Authors:
Jon Davis
;
Andrew Tierney
and
Elizabeth Chang
Affiliation:
School of Information Systems, Curtin University of Technology, Australia
Keyword(s):
Enterprise Information System, meta-data, framework, meta-data driven application, application generation
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Data Engineering
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Methodologies, Processes and Platforms
;
Model-Driven Software Development
;
Modeling Formalisms, Languages and Notations
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Software Engineering
;
Symbolic Systems
;
Systems Engineering
Abstract:
This paper proposes a process for implementing a meta-data approach to defining a platform independent operational computer system application. It identifies Enterprise Information System (EIS) type systems as ideal candidates for implementation using this meta-data, based on the simplification opportunities available due to the typically visual and transactional component bias of EIS systems. It describes architecture for the development of a suitable meta-data based application generator system. This development could lead to the generation of new accelerated EIS development methodologies in business modeling, analysis, design, system deployment and global information exchange.