Logical foundations of artificial intelligence
Logical foundations of artificial intelligence
Foundations for the study of software architecture
ACM SIGSOFT Software Engineering Notes
Fundamentals of database systems (2nd ed.)
Fundamentals of database systems (2nd ed.)
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Formal ontology, conceptual analysis and knowledge representation
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Software architecture: perspectives on an emerging discipline
Software architecture: perspectives on an emerging discipline
Knowledge engineering: principles and methods
Data & Knowledge Engineering - Special jubilee issue: DKE 25
The Unified Modeling Language user guide
The Unified Modeling Language user guide
Software engineering (6th ed.)
Software engineering (6th ed.)
A Philosophical Approach to the Concept of Data Model: Is a Data Model, in Fact, a Model?
Information Systems Frontiers
ISESE '02 Proceedings of the 2002 International Symposium on Empirical Software Engineering
A Survey of Architecture Description Languages
IWSSD '96 Proceedings of the 8th International Workshop on Software Specification and Design
An Introduction to Database Systems
An Introduction to Database Systems
Ontological Engineering
Model-Driven Development: A Metamodeling Foundation
IEEE Software
IEEE Software
Modeling issues: a survival guide for a non-expert modeler
MODELS'10 Proceedings of the 13th international conference on Model driven engineering languages and systems: Part II
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Modelling is one of the most frequent tasks in the area of information systems (ISs), with models such as schemata, ontologies, patterns and architectures forming the bases for their creation. Very often, however, the difference between these types of models is not clear and causes confusion and erratic use of the terms. The aim of this paper is to clarify the concept of model through a study of some of the more common ones used in ISs. This proposal is presented through an ontology, where we show how we conceptualize models according to their role in the development of an IS: the model understood as the representation of a domain or as a reality serving as an example.