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Universal Enterprise Adaptive Object Model

Topics: Context Analysis and Modeling; Domain Analysis and Modeling; Enterprise Ontology; Intelligent Problem Solving; Knowledge Acquisition; Knowledge Reengineering; Knowledge Representation; Metamodeling; MetaModeling; Ontology Engineering; Ontology Matching and Alignment; Ontology Sharing and Reuse; Process Knowledge and Semantic Services; Semantic Web

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.


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Paper citation in several formats:
Aveiro, D. and Pinto, D. (2013). Universal Enterprise Adaptive Object Model. In Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2013) - KEOD; ISBN 978-989-8565-81-5; ISSN 2184-3228, SciTePress, pages 89-99. DOI: 10.5220/0004550000890099

author={David Aveiro. and Duarte Pinto.},
title={Universal Enterprise Adaptive Object Model},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2013) - KEOD},


JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2013) - KEOD
TI - Universal Enterprise Adaptive Object Model
SN - 978-989-8565-81-5
IS - 2184-3228
AU - Aveiro, D.
AU - Pinto, D.
PY - 2013
SP - 89
EP - 99
DO - 10.5220/0004550000890099
PB - SciTePress