Elaboration of A Process for Mapping between Ontology Concepts and Objects Model Concepts
Hatem Ben Sta
University of Tunis at El Manar, Tunis, Tunisia
Volume 2010 (2010), Article ID 749128, Communications of the IBIMA, 16 pages, DOI: 10.5171/2010.749128
Received date : ; Accepted date : ; Published date : 31 December 2010
Copyright © 2010 Hatem Ben Sta. This is an open access article distributed under the Creative Commons Attribution License unported 3.0, which permits unrestricted use, distribution, and reproduction in any medium, provided that original work is properly cited
The principal idea of the framework in this paper is to use ontologies to convert a problem domain text description into an object model. The object model of a system consists of objects, identified from the text description and structural linkages corresponding to existing or established relationships. The ontologies provide metadata schemas, offering a controlled vocabulary of concepts. At the center of both object models and ontologies are objects within a given problem domain. The difference is that while the object model should contain explicitly shown structural dependencies between objects in a system, including their properties, relationships, events and processes, the ontologies are based on related terms only. On the other hand, the object model refers to the collections of concepts used to describe the generic characteristics of objects in object-oriented languages. Because ontology is accepted as a formal, explicit specification of a shared conceptualization, we can naturally link ontologies with object models, which represent a system-oriented map of related objects, described as Abstract Data Types (ADTs). This paper addresses ontologies as a basis of a complete methodology for object modeling, including available tools, particularly CORPORUM OntoExtract and VisualText, which can help the conversion process. This paper describes how the developers can use this framework and implement it on the base of an illustrative example.
Keywords: object model, ontologies, class model, ADT.