Authors:
David Aveiro
1
and
Duarte Pinto
2
Affiliations:
1
University of Madeira, Madeira Interactive Technologies Institute and Center for Organizational Design and Engineering, Portugal
;
2
University of Madeira, Portugal
Keyword(s):
Enterprise Engineering, Model, Meta-Model, Abstract Syntax, Concrete Syntax, Adaptive Object Model, DEMO.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Collaboration and e-Services
;
Context
;
Data Engineering
;
Domain Analysis and Modeling
;
e-Business
;
Enterprise Information Systems
;
Enterprise Ontology
;
Enterprise Software Technologies
;
Information Systems Analysis and Specification
;
Intelligent Problem Solving
;
Knowledge Acquisition
;
Knowledge Engineering and Ontology Development
;
Knowledge Reengineering
;
Knowledge Representation
;
Knowledge-Based Systems
;
MetaModeling
;
Models
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Ontology Matching and Alignment
;
Ontology Sharing and Reuse
;
Paradigm Trends
;
Process Knowledge and Semantic Services
;
Semantic Web
;
Soft Computing
;
Software Engineering
;
Symbolic Systems
Abstract:
In this paper we present a novel conceptual model that systematizes the integrated management and adaptation of: (1) enterprise models, (2) their representations, (3) their underlying meta-models, i.e., their abstract syntax and (4) the representation rules, i.e., concrete syntax for the respective models. All this for different modeling languages and also different versions of these languages. Thanks to our original use of the adaptive object model and type square patterns – normally applied in the context of software engineering, but here applied for enterprise engineering – we manage to provide a strong conceptual foundation for the development of software tools that will allow a precise and coherent specification of models and their evolution and also of meta-models and their evolution.